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Discriminative Localized Sparse Approximations for Mass Characterization in Mammograms

Frontiers in Oncology(2021)10.3389/fonc.2021.725320Source: DataRank Database

Discriminative Localized Sparse Approximations for Mass Characterization in Mammograms is a research paper published in Frontiers in Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (10)IDs (PubMed, PMC)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Keni Zheng ORCID,C Harris ORCID,Sokratis Makrogiannis ORCID

Live enrichment

PubMed:35036353 PMC:PMC8755640

NIGMS NIH HHS

Grant: SC3 GM113754

NIMHD NIH HHS

Grant: U54 MD015959

National Institutes of Health

Grant: 5SC3GM113754-08

Image Analysis and Machine Learning Methods for Biomarkers of Age-related and Metabolic Diseases

National Institutes of Health

Grant: 4U54GM104941-04

Delaware - CTR

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fonc.2021.725320/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fonc.2021.725320/full

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8755640

repositoryhttps://doaj.org/article/7d7927e366b640ac94c42bd7c5b0d7e7

Europe_PMChttps://europepmc.org/articles/PMC8755640

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Breast Cancer ScreeningSparse ApproximationComputer-aided Diagnosis (Cadx)Mass ClassificationMammographic ImagingOncologyNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282

Sustainable Development Goals

SDG 3: 3. Good health