AI and the digital pathology revolution: clinical applications in cancer diagnosis and assessment. [PDF]
Paul S, Isaacs HM, Cote RJ.
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Editorial: Visualizing big culture and history data. [PDF]
Windhager F, Koch S, Münster S, Mayr E.
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MMD-Net: a weakly supervised solution for quantification of nonalcoholic fatty liver biopsies. [PDF]
Yu M, Jiang T, Zhou H, Ta D.
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Foundation models in computational pathology: methods, applications and clinical implications. [PDF]
Sali R +7 more
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Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision. [PDF]
Butt NA +5 more
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A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images. [PDF]
Fan Z +6 more
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Enhancing WSI image classification with graph convolutional neural networks and model uncertainty modeling. [PDF]
Liu C, Cheng Y, Li T, Hao Y, Zhang Q.
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Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration. [PDF]
Liang CW +5 more
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ComPRePS 2.0: Enabling Massive-Scale Distributed Computing on High-Performance Computing Cluster for Histopathological Data Processing. [PDF]
Kumar SKC +8 more
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