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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning

Frontiers in Oncology(2021)10.3389/fonc.2021.728224Source: DataRank Database

BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning is a research paper published in Frontiers in Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 16 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access16 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.65)OA: goldTopics (48)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (14)

Y. L. Liu ORCID,Yang Zhang ORCID,Jeon‐Hor Chen ORCID,Freddie J. Combs,Ritesh Parajuli

Live enrichment

PubMed:34790569 PMC:PMC8591227 OpenAlex:https://openalex.org/W3209913174

NCATS NIH HHS

Grant: UL1 TR001414

National Institutes of Health

Grant: 3P30CA062203-27S1

Clinical Trial Advancement and Development for Sarcomas

National Institutes of Health

Grant: 5R01CA127927-05

Prediction of Neoadjuvant Chemo Pathological Response Using MRI Markers

National Institutes of Health

Grant: 1R21CA208938-01A1

Mammographic Density and Metabolic Genotyping for Predicting Cancer Prognosis

FWCI

1.65

Citation Percentile

0.8%

Citation Trend

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://www.frontiersin.org/articles/10.3389/fonc.2021.728224/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fonc.2021.728224/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fonc.2021.728224/full

journalhttps://doi.org/10.3389/fonc.2021.728224

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34790569

Fields of Study

MRI in cancer diagnosisRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast Imaging03 medical and health sciences0302 clinical medicine

Keywords

BI-RADSRadiomicsArtificial intelligenceDifferential diagnosisMedicineRadiologyComputer scienceKappaSupport vector machineDeep learningPattern recognition (psychology)Nuclear medicineBreast cancerCancerPathologyMathematicsMammographyBreast neoplasmsMagnetic Resonance ImagingMachine LearningComputer-assisted DiagnosisOncology and Carcinogenesis610BioengineeringClinical sciencesBiomedical Imaging (rcdc)Machine Learning and Artificial Intelligence3211 Oncology and carcinogenesis (for-2020)32 Biomedical and Clinical Sciences (for-2020)RC254-282Cancer (rcdc)Networking and Information Technology R&D (NITRD) (rcdc)Biomedical and Clinical SciencesBioengineering (rcdc)4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)Neoplasms. Tumors. Oncology. Including cancer and carcinogens3202 Clinical sciences (for-2020)1112 Oncology and Carcinogenesis (for)4.1 Discovery and preclinical testing of markers and technologiesNetworking and Information Technology R&D (NITRD)OncologyBiomedical ImagingMachine Learning and Artificial Intelligence (rcdc)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Quality Education