CheXpert

Names
More detailed information about this field from each metasource.

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

A large Chest X-ray Dataset and Competition
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Other names: A large Chest X-ray Dataset and Competition

CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation, which features uncertainty labels and radiologist-labeled reference standard evaluation sets.

Webpage:

https://stanfordmlgroup.github.io/competitions/chexpert/

Licence:

Name: Resource specific
URL: https://stanfordmlgroup.github.io/competitions/chexpert/

Publications: (14)

Publications
More detailed information about this field from each metasource.

COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
PMID: 33250662
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Comparing different deep learning architectures for classification of chest radiographs
PMID: 32788602
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection
PMID: 33163973
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification
PMID: 31976915
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Estimation of age in unidentified patients via chest radiography using convolutional neural network regression
PMID: 32347410
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers
PMID: 32749222
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis
PMID: 33284748
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs
PMID: 33310394
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

https://arxiv.org/abs/1901.07031
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

https://scholar.google.com/scholar_lookup?journal=Proc.+AAAI+Conf.+Artif.+Intell.&title=Chexpert:+A+large+chest+radiograph+dataset+with+uncertainty+labels+and+expert+comparison&author=J+Irvin&volume=33&publication_year=2019&pages=590-597&
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks
PMID: 32511570
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
PMID: 33018208
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning
PMID: 33406037
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images
PMID: 33497335
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images PubMed citations: 30.

30 articles citing: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

A COMPARATIVE STUDY OF X-RAY AND CT IMAGES IN COVID-19 DETECTION USING IMAGE PROCESSING AND DEEP LEARNING TECHNIQUES. PMID:35281724
An Improved COVID-19 Detection using GAN-Based Data Augmentation and Novel QuNet-Based Classification. PMID:35257012
An Interpretable Deep Learning Model for Covid-19 Detection With Chest X-Ray Images. PMID:35256923
Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study. PMID:35251572
Deep multi-view feature learning for detecting COVID-19 based on chest X-ray images. PMID:35222680
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. PMID:35096384
COVID-19 detection on chest radiographs using feature fusion based deep learning. PMID:35096182
COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images. PMID:34840938
An Expert System for COVID-19 Infection Tracking in Lungs Using Image Processing and Deep Learning Techniques. PMID:34782860
A systematic review on AI/ML approaches against COVID-19 outbreak. PMID:34777970
EpistoNet: an ensemble of Epistocracy-optimized mixture of experts for detecting COVID-19 on chest X-ray images. PMID:34732741
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment. PMID:34683133
Object or Background: An Interpretable Deep Learning Model for COVID-19 Detection from CT-Scan Images. PMID:34574073
COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet. PMID:34531477
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches. PMID:34511689
Artificial intelligence-based approaches for COVID-19 patient management. PMID:34447600
Automated image classification of chest X-rays of COVID-19 using deep transfer learning. PMID:34395185
C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet. PMID:34376926
A Hybrid Method of Covid-19 Patient Detection from Modified CT-Scan/Chest-X-Ray Images Combining Deep Convolutional Neural Network And Two- Dimensional Empirical Mode Decomposition. PMID:34337590
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients. PMID:34321491
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data. PMID:34249142
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. PMID:34248292
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19. PMID:34194535
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning. PMID:34127892
COV-SNET: A deep learning model for X-ray-based COVID-19 classification. PMID:34075340
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning. PMID:34034715
Diagnosing COVID-19 disease using an efficient CAD system. PMID:34028466
Evolving deep convolutional neutral network by hybrid sine-cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images. PMID:33994846
Chest Imaging of Patients with Sarcoidosis and SARS-CoV-2 Infection. Current Evidence and Clinical Perspectives. PMID:33514012
Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach. PMID:33440798
Comparing different deep learning architectures for classification of chest radiographs PubMed citations: 20.

20 articles citing: Comparing different deep learning architectures for classification of chest radiographs

Quantifying prognosis severity of COVID-19 patients from deep learning based analysis of CT chest images. PMID:35282403
Multi-channel convolutional neural network architectures for thyroid cancer detection. PMID:35061759
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. PMID:34763146
Artificial Intelligence for COVID-19: A Systematic Review. PMID:34660623
Development and prospective validation of COVID-19 chest X-ray screening model for patients attending emergency departments. PMID:34650190
COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet. PMID:34531477
A bagging dynamic deep learning network for diagnosing COVID-19. PMID:34381079
Validating deep learning inference during chest X-ray classification for COVID-19 screening. PMID:34373530
Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing. PMID:34366576
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. PMID:34207959
Deep Learning of Ultrasound Imaging for Evaluating Ambulatory Function of Individuals with Duchenne Muscular Dystrophy. PMID:34071811
COVID-19 classification of X-ray images using deep neural networks. PMID:34052882
Searching for pneumothorax in x-ray images using autoencoded deep features. PMID:33972606
Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network. PMID:33799607
Undetected Lung Cancer at Posteroanterior Chest Radiography: Scratching the Surface of Deep Learning. PMID:33779661
Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images. PMID:33737268
Classification of pachychoroid on optical coherence tomography using deep learning. PMID:33616757
Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail. PMID:33350895
Evaluation of Scalability and Degree of Fine-Tuning of Deep Convolutional Neural Networks for COVID-19 Screening on Chest X-ray Images Using Explainable Deep-Learning Algorithm. PMID:33171723
AI for radiographic COVID-19 detection selects shortcuts over signal. PMID:32995822
Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection PubMed citations: 6.

6 articles citing: Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection

Multi-Channel Based Image Processing Scheme for Pneumonia Identification. PMID:35204418
Risk-Profile and Feature Selection Comparison in Diabetic Retinopathy. PMID:34945799
Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity. PMID:34786321
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques. PMID:34567277
Diagnosis of corona diseases from associated genes and X-ray images using machine learning algorithms and deep CNN. PMID:34075341
Design ensemble deep learning model for pneumonia disease classification. PMID:33643764
Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification PubMed citations: 4.

4 articles citing: Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification

Research on Chest Disease Recognition Based on Deep Hierarchical Learning Algorithm. PMID:35035852
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. PMID:34300498
MS-ANet: deep learning for automated multi-label thoracic disease detection and classification. PMID:34084937
Part-Aware Mask-Guided Attention for Thorax Disease Classification. PMID:34070982
Estimation of age in unidentified patients via chest radiography using convolutional neural network regression PubMed citations: 3.

3 articles citing: Estimation of age in unidentified patients via chest radiography using convolutional neural network regression

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19. PMID:34988656
Using Deep Neural Networks for Predicting Age and Sex in Healthy Adult Chest Radiographs. PMID:34640449
Radiology "forensics": determination of age and sex from chest radiographs using deep learning. PMID:34089126