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Hard Negative Sample Mining for Whole Slide Image Classification

Lecture notes in computer science(2024)10.1007/978-3-031-72083-3_14Source: DataRank Database

Hard Negative Sample Mining for Whole Slide Image Classification is a research paper published in Lecture notes in computer science (2024). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (8)IDs (PubMed, PMC)

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Open Access

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Authors (5)

Xiaoling Hu,Shahira Abousamra ORCID,Prateek Prasanna ORCID,Chao Chen ORCID,Wentao Huang ORCID

Live enrichment

PubMed:40556770 PMC:PMC12185924

NCI NIH HHS

Grant: R21 CA258493

NIGMS NIH HHS

Grant: R01 GM148970

National Institutes of Health

Grant: 5R21CA258493-02

Computerized platform for interactive annotation and topological characterization of tumor associated vasculature for predicting response to immunotherapy in lung cancer

National Science Foundation

Grant: 2144901

CAREER: Topology-Driven Learning for Biomedical Imaging Informatics

National Institutes of Health

Grant: 5R01GM148970-03

DMS/NIGMS 1: Topological Study on Histological Images and Spatial Transcriptomics

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12185924/pdf/nihms-2089484.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-72083-3_14

https://doi.org/10.1007/978-3-031-72083-3_14

https://dx.doi.org/10.48550/arxiv.2410.02212

https://pubmed.ncbi.nlm.nih.gov/40556770

Fields of Study

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

Keywords

Self-trainingWhole Slide ImageHard Sample MiningFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition