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Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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format Online Article
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journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_auth Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_full Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_fullStr Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_full_unstemmed Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_short Mitosis Detection in Breast Histopathology Images Using a Self-Attention-Enhanced Faster R-CNN Framework
title_sort mitosis detection in breast histopathology images using a self-attention-enhanced faster r-cnn framework
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11366636