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Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.3039741Source: DataRank Database

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019 is a research paper published in IEEE Journal of Biomedical and Health Informatics (2020). On theSindex it has a DataRank of 0. It has been cited 154 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access154 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: hybridTopics (14)IDs (PubMed)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 (33)

Jiehua Zhang ORCID,Tao Tan ORCID,Xichao Teng ORCID,Xiaoliang Sun ORCID,Hong Zhao ORCID

Live enrichment

PubMed:19162232

National Natural Science Foundation of China

Grant: 61801491

Natural Science Foundation of Hunan Province

Grant: 2019JJ50728

NIH/NCI Cancer Center

Grant: P30 CA008748

National Institutes of Health

Grant: 2P30CA008748-43

MOUSE GENETICS

hybridLicense: cc-by

publisherhttps://ieeexplore.ieee.org/ielx7/6221020/9348958/09265237.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6221020/9348958/09265237.pdf?arnumber=9265237

https://doi.org/10.1109/jbhi.2020.3039741

https://dx.doi.org/10.48550/arxiv.2008.09352

https://pubmed.ncbi.nlm.nih.gov/33216724

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

FOS: Computer and information sciencesLung NeoplasmsComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionRadboud University Medical CenterRadboudumc 15: Urological cancers RIHS: Radboud Institute for Health SciencesElectrical Engineering and Systems Science - Image and Video ProcessingDeep LearningFOS: Electrical engineering, electronic engineering, information engineeringHumansDiagnosis, Computer-Assisted

Sustainable Development Goals

SDG 3: 3. Good health