Multimodal Data Fusion for Whole-Slide Histopathology Image Classification. [PDF]
Song Y +5 more
europepmc +1 more source
Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution. [PDF]
Zhao S, Zhou H, Lin SS, Cao R, Yang C.
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HI-Net: A novel histopathologic image segmentation model for metastatic breast cancer via lightweight dataset construction. [PDF]
Li F, Ma J, Wen T, Tian Z, Liang HN.
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A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformers. [PDF]
Rahnfeld J +5 more
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Deep Learning Image Processing Models in Dermatopathology. [PDF]
Mehta A +8 more
europepmc +1 more source
Translational deep learning models for risk stratification to predict prognosis and immunotherapy response in gastric cancer using digital pathology. [PDF]
Nguyen MH +6 more
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Combining graph neural network and Mamba to capture local and global tissue spatial relationships in whole slide images. [PDF]
Ding R +4 more
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Abnormality-aware multimodal learning for WSI classification. [PDF]
Dang TM +7 more
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Ultra-fast light-field microscopy with event detection. [PDF]
Bian L, Chang X, Xu H, Zhang J.
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Bridging modalities with AI: a review of AI advances in multimodal biomedical imaging. [PDF]
Doan LMT +7 more
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