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04/26/2023
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
The domain shift in pathological segmentation is an important problem, w...
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04/07/2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Pathological image analysis is an important process for detecting abnorm...
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03/02/2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
Semi-supervised domain adaptation is a technique to build a classifier f...
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08/19/2021
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue
Pathological diagnosis is used for examining cancer in detail, and its a...
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07/16/2020
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
We propose a weakly-supervised cell tracking method that can train a con...
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10/10/2019
Multi-Stage Pathological Image Classification using Semantic Segmentation
Histopathological image analysis is an essential process for the discove...
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04/12/2019