Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images
Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images
About this item
Full title
Author / Creator
Liu, Yiqing , He, Qiming , Duan, Hufei , Shi, Huijuan , Han, Anjia and He, Yonghong
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixel-wise annotations for such segmentation tasks in a fully-supervised training framework requires significant effort. To reduce the burden of manual annotation, we propose a novel weakly supervised segmentation framework based on sparse patch annotati...
Alternative Titles
Full title
Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_12aaf1deeedc49e0b2df44aaa539ad92
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_12aaf1deeedc49e0b2df44aaa539ad92
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22166053
