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07/16/2023
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
The heterogeneity of breast cancer presents considerable challenges for ...
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03/17/2023
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring
Semi-supervised learning (semi-SL) is a promising alternative to supervi...
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02/22/2023
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
Convolution Neural Networks (CNNs) are widely used in medical image anal...
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09/15/2022
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
The effective localization of mitosis is a critical precursory task for ...
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08/26/2022
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
The standard diagnostic procedures for targeted therapies in lung cancer...
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05/03/2022
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation
Although the U-Net architecture has been extensively used for segmentati...
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11/30/2020
