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09/07/2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Class activation mapping (CAM), a visualization technique for interpreti...
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07/12/2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis detection is one of the fundamental tasks in computational patho...
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02/24/2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Histopathological tissue classification is a fundamental task in computa...
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07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
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05/17/2022
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Ultrasonography is an important routine examination for breast cancer di...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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02/28/2022
RestainNet: a self-supervised digital re-stainer for stain normalization
Color inconsistency is an inevitable challenge in computational patholog...
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11/04/2021
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
Histopathological tissue classification is a fundamental task in pathomi...
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10/14/2021