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From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep LearningCode0
Automatic and explainable grading of meningiomas from histopathology imagesCode0
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer SubtypingCode0
A Unified Framework for Tumor Proliferation Score Prediction in Breast HistopathologyCode0
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusionCode0
Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer SectionsCode0
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architectureCode0
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor regionCode0
Attention to detail: inter-resolution knowledge distillationCode0
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