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cs.CV2024
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
Weiqin Zhao, Ziyu Guo, Yinshuang Fan +3
Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previou…
eess.IV2024
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy
Liang Qiu, Wenhao Chi, Xiaohan Xing +8
Precision therapy for liver cancer necessitates accurately delineating liver sub-regions to protect healthy tissue while targeting tumors, which is essential for reducing recurrenc…
cs.CV2024★ 1 cited
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen, Tsai Hor Chan, Guosheng Yin +2
Multiple instance learning (MIL) has been extensively applied to whole slide histopathology image (WSI) analysis. The existing aggregation strategy in MIL, which primarily relies o…