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Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset

Scientific Reports(2021)10.1038/s41598-021-87762-2Source: DataRank Database

Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset is a research paper published in Scientific Reports (2021). On theSindex it has a DataRank of 0. It has been cited 75 times.

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Open Access75 citations

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Linked data & code

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (22 grants)Impact (FWCI 6.85)OA: goldTopics (56)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (7)

Amirata Ghorbani,Rikiya Yamashita,Sameer Rehman,Jared A. Dunnmon,James Zou ORCID

Live enrichment

PubMed:33863957 PMC:PMC8052417 OpenAlex:https://openalex.org/W3092703718

National Science Foundation

Grant: CCF 1763191, CAREER 1942926

National Institutes of Health

Grant: P30AG059307, U01MH098953

National Cancer Institute

Grant: 1U01CA190214, 1U01CA187947, U01CA242879, and U24CA226110

NCI NIH HHS

Grant: U01 CA187947

NCI NIH HHS

Grant: U01 CA242879

NCI NIH HHS

Grant: U01 CA190214

NIA NIH HHS

Grant: P30 AG059307

NIMH NIH HHS

Grant: U01 MH098953

NCI NIH HHS

Grant: U24 CA226110

National Institutes of Health

Grant: 5U01CA190214-05

Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response

National Institutes of Health

Grant: 5U01CA187947-04

Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers

National Institutes of Health

Grant: 5P30AG059307-03

Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

National Science Foundation

Grant: 1763191

AF: MEDIUM: Collaborative Research: Foundations of Adaptive Data Analysis

National Institutes of Health

Grant: 5U01MH098953-04

Role of Single Cell mRNA Variation in Systems Associated Electrically Excitable C

National Institutes of Health

Grant: 5U24CA226110-03

INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER

National Institutes of Health

Grant: 5U24CA226110-05

INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER

National Institutes of Health

Grant: 1U01CA242879-01

Distributed Learning of Deep Learning Models for Cancer Research

National Science Foundation

Grant: 1942926

CAREER: Enabling data valuation and deletion in human-centered machine learning

National Institutes of Health

Grant: 3P30AG059307-04S1

Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

Silicon Valley Foundation

Wu Tsai Neurosciences Institute

Chan-Zuckerberg Initiative

FWCI

6.85

Citation Percentile

1.0%

Influential Citations

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.nature.com/articles/s41598-021-87762-2.pdf

GOLDhttps://www.nature.com/articles/s41598-021-87762-2.pdf

publisherhttps://www.nature.com/articles/s41598-021-87762-2.pdf

publisherhttps://www.nature.com/articles/s41598-021-87762-2

journalhttps://doi.org/10.1038/s41598-021-87762-2

Fields of Study

COVID-19 diagnosis using AIAI in cancer detectionCell Image Analysis TechniquesComputer ScienceEngineeringMedicine02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineeringAlgorithmsDatasets as TopicDiagnostic ImagingHumansImage Processing, Computer-AssistedMachine LearningNeural Networks, ComputerPneumoniaRadiography, Thoracic

MeSH Terms

Machine LearningAlgorithmsDiagnostic ImagingHumansImage Processing, Computer-AssistedPneumoniaRadiography, ThoracicNeural Networks, ComputerDatasets as Topic

Keywords

Shapley valueValuation (finance)Data qualityQuality (philosophy)Medical imagingReliability (semiconductor)Diagnostic ImagingFOS: Computer and information sciencesComputer Science - Machine LearningScienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionDatasets as TopicArticleMachine Learning (cs.LG)Machine LearningImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansQImage and Video Processing (eess.IV)RPneumoniaElectrical Engineering and Systems Science - Image and Video ProcessingMedicineRadiography, ThoracicNeural Networks, ComputerAlgorithms

Sustainable Development Goals

SDG 3: 3. Good health

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset

10.48550/arxiv.2010.08006arXiv