ISIC

Names
More detailed information about this field from each metasource.

ISIC
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

The International Skin Imaging Collaboration
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Isic Archive - Melanoma
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Other names: The International Skin Imaging Collaboration, Isic Archive - Melanoma

The International Skin Imaging Collaboration: Melanoma Project is an academia and industry partnership designed to facilitate the application of digital skin imaging to help reduce melanoma mortality. This archive serves as a public resource of images for teaching and for the development and testing of automated diagnostic systems.

Webpage:

https://www.isic-archive.com

Licence:

Name: Resource specific
URL: https://www.isic-archive.com/#!/termsOfUse

Publications: (12)

Publications
More detailed information about this field from each metasource.

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
PMID: 30106392
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images
PMID: 28969863
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Attention Residual Learning for Skin Lesion Classification
PMID: 30668469
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards
PMID: 29344752
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Technique Standards for Skin Lesion Imaging: A Delphi Consensus Statement
PMID: 27892996
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Proposed Technical Guidelines for the Acquisition of Clinical Images of Skin-Related Conditions
PMID: 28241182
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Dermoscopy Image Analysis: Overview and Future Directions
PMID: 30703051
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
PMID: 30768826
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Recent advancement in the early detection of melanoma using computerized tools: An image analysis perspective
PMID: 30030916
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Skin Lesion Analysis By Multi-Target Deep Neural Networks
PMID: 30440620
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Multi-scale classification based lesion segmentation for dermoscopic images
PMID: 28268578
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

https://doi.org/10.1109/IPTA.2016.7821017
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions PubMed citations: 82.

82 articles citing: The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Deep Learning-Based Classification for Melanoma Detection Using XceptionNet. PMID:35360474
Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images. PMID:35324786
Imtidad: A Reference Architecture and a Case Study on Developing Distributed AI Services for Skin Disease Diagnosis over Cloud, Fog and Edge. PMID:35271000
Preprocessing Effects on Performance of Skin Lesion Saliency Segmentation. PMID:35204435
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine. PMID:35161553
New Trends in Melanoma Detection Using Neural Networks: A Systematic Review. PMID:35062458
Integrating Domain Knowledge into Deep Learning for Skin Lesion Risk Prioritization to Assist Teledermatology Referral. PMID:35054203
InSiNet: a deep convolutional approach to skin cancer detection and segmentation. PMID:35028864
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder. PMID:35013826
DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks. PMID:34996997
AI Techniques for COVID-19. PMID:34976554
Machine Learning and Its Application in Skin Cancer. PMID:34949015
Interpretability of a Deep Learning Based Approach for the Classification of Skin Lesions into Main Anatomic Body Sites. PMID:34885158
Deep Learning-Based Transfer Learning for Classification of Skin Cancer. PMID:34884146
Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN). PMID:34829494
Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion. PMID:34790232
The Study of Usefulness of a Set of Fractal Parameters to Build Classes of Disease Units Based on Images of Pigmented Skin Lesions. PMID:34679471
Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. PMID:34640843
Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules. PMID:34638456
Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories. PMID:34621146
Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms. PMID:34546412
AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function. PMID:34471174
Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images. PMID:34460573
Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges. PMID:34457123
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. PMID:34456459
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. PMID:34441324
A Comparative Study of Machine Learning Methods for Persistence Diagrams. PMID:34396089
Convolutional neural networks for the detection of malignant melanoma in dermoscopy images. PMID:34377121
FAC-Net: Feedback Attention Network Based on Context Encoder Network for Skin Lesion Segmentation. PMID:34372409
Diagnosis and Management of Lentigo Maligna: Clinical Presentation and Comprehensive Review. PMID:34350036
Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs. PMID:34322593
Classification of large-scale image database of various skin diseases using deep learning. PMID:34309781
Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +. PMID:34304370
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. PMID:34255646
Multi-level dilated residual network for biomedical image segmentation. PMID:34238940
DiaMole: Mole Detection and Segmentation Software for Mobile Phone Skin Images. PMID:34188791
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet. PMID:34150994
Perilesional sun damage as a diagnostic clue for pigmented actinic keratosis and Bowen's disease. PMID:34146354
Skin Cancer Detection: A Review Using Deep Learning Techniques. PMID:34065430
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization. PMID:33947117
Skin Lesion Classification Using Additional Patient Information. PMID:33937410
Applications of Topological Data Analysis in Oncology. PMID:33928240
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. PMID:33919583
Deep Learning Classifier with Patient's Metadata of Dermoscopic Images in Malignant Melanoma Detection. PMID:33907414
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PMID:33816919
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data. PMID:33808207
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study. PMID:33764307
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging. PMID:33686212
MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation. PMID:33679900
AI-based localization and classification of skin disease with erythema. PMID:33674636
Minimax Pareto Fairness: A Multi Objective Perspective. PMID:33644764
A survey on generative adversarial networks for imbalance problems in computer vision tasks. PMID:33552840
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. PMID:33479460
A Deep Learning Approach to Skin Cancer Detection in Dermoscopy Images. PMID:33364218
Artificial Intelligence in Dermatology: A Practical Introduction to a Paradigm Shift. PMID:33344334
Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations. PMID:33327315
Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures. PMID:33286257
Topological image modification for object detection and topological image processing of skin lesions. PMID:33273628
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. PMID:33246265
Lentigo Maligna: Clinical Presentation and Appropriate Management. PMID:33223843
Deep Neural Frameworks Improve the Accuracy of General Practitioners in the Classification of Pigmented Skin Lesions. PMID:33218060
Effective Melanoma Recognition Using Deep Convolutional Neural Network with Covariance Discriminant Loss. PMID:33066123
PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones. PMID:32939378
Clinically Relevant Vulnerabilities of Deep Machine Learning Systems for Skin Cancer Diagnosis. PMID:32931808
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study. PMID:32915161
Skin Diseases Classification Using Deep Leaning Methods. PMID:32874685
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. PMID:32733903
Towards the automatic detection of skin lesion shape asymmetry, color variegation and diameter in dermoscopic images. PMID:32544197
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification. PMID:32435646
Towards Interpretable Skin Lesion Classification with Deep Learning Models. PMID:32308922
AK-DL: A Shallow Neural Network Model for Diagnosing Actinic Keratosis with Better Performance Than Deep Neural Networks. PMID:32294962
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data. PMID:32292713
Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions. PMID:32245258
DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images. PMID:32164530
Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study. PMID:32012058
[New optical examination procedures for the diagnosis of skin diseases]. PMID:31965207
What is AI? Applications of artificial intelligence to dermatology. PMID:31960407
Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. PMID:31739464
Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis. PMID:31426482
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. PMID:31201137
Dermatoscopy of Neoplastic Skin Lesions: Recent Advances, Updates, and Revisions. PMID:30238167
Diagnostic accuracy of content-based dermatoscopic image retrieval with deep classification features. PMID:30207594
Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images PubMed citations: 52.

52 articles citing: Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

Real-time high-resolution millimeter-wave imaging for in-vivo skin cancer diagnosis. PMID:35322133
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields. PMID:35273282
Refined Residual Deep Convolutional Network for Skin Lesion Classification. PMID:35018536
Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting. PMID:34983756
Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. PMID:34847056
Artificial Intelligence for Skin Cancer Detection: Scoping Review. PMID:34821566
Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical Color Cluster Features Using an Ensemble of Machine Learning Techniques. PMID:34771421
Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. PMID:34640843
Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention. PMID:34513863
Diagnosis and Management of Lentigo Maligna: Clinical Presentation and Comprehensive Review. PMID:34350036
DICOM in Dermoscopic Research: an Experience Report and a Way Forward. PMID:34244881
Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images. PMID:34192650
[Artificial intelligence in medicine and gynecology-the wrong track or promise of cure?]. PMID:33972805
Predicting the clinical management of skin lesions using deep learning. PMID:33833293
Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning. PMID:33748163
A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study. PMID:33720027
Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review. PMID:33656443
Designing deep learning studies in cancer diagnostics. PMID:33514930
Deep learning-enabled medical computer vision. PMID:33420381
Assessment of Tibot® Artificial Intelligence Application in Prediction of Diagnosis in Dermatological Conditions: Results of a Single Centre Study. PMID:33344338
Lentigo Maligna: Clinical Presentation and Appropriate Management. PMID:33223843
Deep Neural Frameworks Improve the Accuracy of General Practitioners in the Classification of Pigmented Skin Lesions. PMID:33218060
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). PMID:33142135
Performance of a deep neural network in teledermatology: a single-centre prospective diagnostic study. PMID:33037709
PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones. PMID:32939378
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population. PMID:32826613
Artificial Intelligence in Cutaneous Oncology. PMID:32754606
Web-based study on Chinese dermatologists' attitudes towards artificial intelligence. PMID:32617318
Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet. PMID:32607904
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification. PMID:32435646
Deep learning for dermatologists: Part II. Current applications. PMID:32428608
Computational models of melanoma. PMID:32410672
Non-invasive clinical and microscopic evaluation of the response to treatment with clobetasol cream vs. calcipotriol/betamethasone dipropionate foam in mild to moderate plaque psoriasis: an investigator-initiated, phase IV, unicentric, open, randomized clinical trial. PMID:32365242
Number needed to biopsy ratio and diagnostic accuracy for melanoma detection. PMID:32360723
Artificial Intelligence Applications in Dermatology: Where Do We Stand? PMID:32296706
Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations. PMID:32253623
Implementation of artificial intelligence and non-contact infrared thermography for prediction and personalized automatic identification of different stages of cellulite. PMID:32140183
What is AI? Applications of artificial intelligence to dermatology. PMID:31960407
Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition. PMID:31411641
Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017. PMID:31306724
Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions. PMID:31233565
Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis. PMID:31215969
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. PMID:31201137
[Artificial intelligence in medicine-the wrong track or promise of cure?]. PMID:31020363
Emerging imaging technologies in dermatology: Part II: Applications and limitations. PMID:30528310
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks. PMID:30484822
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. PMID:30333097
Dermatoscopy of Neoplastic Skin Lesions: Recent Advances, Updates, and Revisions. PMID:30238167
Machine learning: applications of artificial intelligence to imaging and diagnosis. PMID:30182201
Automated Dermatological Diagnosis: Hype or Reality? PMID:29864435
Screening for malignant melanoma-a critical assessment in historical perspective. PMID:29785325
Revolution in Health Care: How Will Data Science Impact Doctor-Patient Relationships? PMID:29666789
Attention Residual Learning for Skin Lesion Classification PubMed citations: 17.

17 articles citing: Attention Residual Learning for Skin Lesion Classification

Scale-Aware Transformers for Diagnosing Melanocytic Lesions. PMID:35211363
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images. PMID:35161878
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine. PMID:35161553
Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification. PMID:35118054
Characterizing Malignant Melanoma Clinically Resembling Seborrheic Keratosis Using Deep Knowledge Transfer. PMID:34944920
Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN). PMID:34829494
Artificial Intelligence for Skin Cancer Detection: Scoping Review. PMID:34821566
Skin Lesion Detection Algorithms in Whole Body Images. PMID:34640959
Densely connected attention network for diagnosing COVID-19 based on chest CT. PMID:34520988
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. PMID:34441324
Artificial intelligence in tumor subregion analysis based on medical imaging: A review. PMID:34164913
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images. PMID:34127870
Deep Learning Classifier with Patient's Metadata of Dermoscopic Images in Malignant Melanoma Detection. PMID:33907414
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. PMID:33656999
Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning. PMID:33321864
Effective Melanoma Recognition Using Deep Convolutional Neural Network with Covariance Discriminant Loss. PMID:33066123
A Novel LiDAR Data Classification Algorithm Combined CapsNet with ResNet. PMID:32093132
Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards PubMed citations: 10.

10 articles citing: Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards

The Future of Precision Prevention for Advanced Melanoma. PMID:35111789
DICOM in Dermoscopic Research: an Experience Report and a Way Forward. PMID:34244881
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. PMID:34131793
Supporting Virtual Dermatology Consultation in the Setting of COVID-19. PMID:33689061
The Role of DICOM in Artificial Intelligence for Skin Disease. PMID:33644087
A patient-centric dataset of images and metadata for identifying melanomas using clinical context. PMID:33510154
Artificial Intelligence: How is It Changing Medical Sciences and Its Future? PMID:33165420
Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration. PMID:32770737
Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma. PMID:29911103
Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017. PMID:29619278
Technique Standards for Skin Lesion Imaging: A Delphi Consensus Statement PubMed citations: 8.

8 articles citing: Technique Standards for Skin Lesion Imaging: A Delphi Consensus Statement

Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review. PMID:33733038
Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration. PMID:32770737
Practice guidelines for teledermatology in Australia. PMID:32363572
Consensus-based technical recommendations for clinical translation of renal ASL MRI. PMID:31833014
Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. PMID:31739464
Nomenclature and semantic description of vascular lesions in small bowel capsule endoscopy: an international Delphi consensus statement. PMID:30834297
The Critical Portions of Carpal Tunnel Release, Ulnar Nerve Transposition, and Open Reduction and Internal Fixation of the Distal Part of the Radius. PMID:30516635
Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards. PMID:29344752