Search
Product
About us
Contact
Blog

Radiomics Ontology

Names
More detailed information about this field from each metasource.

Radiomics Ontology
metasource: Fairsharing.org
version: None

metasource: Biontology / Bioportal
version: 2.1 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/RO

RO
metasource: Fairsharing.org
version: None

metasource: Biontology / Bioportal
version: 2.1 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/RO

Other names: RO

Names

More detailed information about this field from each metasource.

Radiomics Ontology

metasource: Fairsharing.org
version: None

metasource: Biontology / Bioportal
version: 2.1 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/RO

RO

metasource: Fairsharing.org
version: None

metasource: Biontology / Bioportal
version: 2.1 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/RO

The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.

Description

More detailed information about this field from each metasource.

The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.

metasource: Fairsharing.org
version: None

The Radiomics Ontology aims to cover the radiomics feature domain with a strong focus on first order, shape, textural radiomics features. In addition, in the original version. it includes classes about segmentation algorithms and imaging filters. Due to a recent collaboration with the IBSI (International Biomarkers Standardization Initiative), the ontology has been expanded (v 1.6) and it includes all the entities presented in the IBSI document. Therefore, a broad coverage of not only radiomics features, but also every entity (e.g. software properties, filter properties, features extraction parameters) involved into radiomics computation has been added. In the latest version (v2.0), the ontology URIs have been updated to reflect the codes avaialble in the IBSI latest manual

metasource: Biontology / Bioportal
version: 2.1 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/RO

Webpage:

https://github.com/albytrav/RadiomicsOntologyIBSI

Webpage

More detailed information about this field from each metasource.

https://github.com/albytrav/RadiomicsOntologyIBSI

metasource: Fairsharing.org
version: None

Tags:

Tags
More detailed information about this field from each metasource.

medical imaging
metasource: Fairsharing.org
version: None

medical imaging

More to explore:

1/20

OBO Relations Ontology

RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well ...

Radiation Oncology Ontology

The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI ...

Research Object Crate

RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in f ...

Pathway Ontology

The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure o ...

Wf4Ever Research Object Model 1.0

The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.

Edinburgh human developmental anatomy abstract version 2

The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology i ...

Lentil Ontology

The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype ...

Maize Ontology

The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype ...

International Society for the Study of Vascular Anomalies (ISSVA) Ontology

The International Society for the Study of Vascular Anomalies (ISSVA) is a multidisciplinary international society of physicians, scientists, and health care providers united by an interest in vascula ...

Soybean Ontology

The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotyp ...

Banana Ontology

The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype ...

Flora Phenotype Ontology

The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each t ...

Sorghum Ontology

The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotyp ...

TRANSFAC®

The TRANSFAC® database has been constructed to model the interaction of eukaryotic transcription factors with their DNA-binding sites and how this affects gene expression. At its core are the three ta ...

Groundnut Ontology

The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenot ...

Manually Curated Database of Rice Proteins

The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn ...

Children’s Kidney Cancers - Great Ormond Street Hospital

GOSH is the custodian of the latest study dataset - IMPORT. All of the trial/study datasets include: full patient and tumour demographics, associated congenital abnormalities, tumour stage, treatment ...

Chickpea Ontology

Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts ...

Molecular Connections Cell Line Ontology

The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major do ...

Banana Anatomy Ontology

The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and p ...

Previous Next

Need help integrating and/or managing biomedical data?