Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft Attention
Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft Attention
About this item
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Author / Creator
Xu, Rui , Wang, Zhizhen , Liu, Zhenbing , Han, Chu , Yan, Lixu , Lin, Huan , Xu, Zeyan , Feng, Zhengyun , Liang, Changhong , Chen, Xin , Pan, Xipeng and Liu, Zaiyi
Publisher
New York: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
New York: Hindawi
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Scope and Contents
Contents
Automatic tissue segmentation in whole-slide images (WSIs) is a critical task in hematoxylin and eosin- (H&E-) stained histopathological images for accurate diagnosis and risk stratification of lung cancer. Patch classification and stitching the classification results can fast conduct tissue segmentation of WSIs. However, due to the tumour heteroge...
Alternative Titles
Full title
Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft Attention
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9283032
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9283032
Other Identifiers
ISSN
2314-6133,2314-6141
E-ISSN
2314-6141
DOI
10.1155/2022/7966553
