Active learning (AL) is an effective approach to select the most informa...
Weakly supervised whole slide image classification is usually formulated...
This paper introduces the novel concept of few-shot weakly supervised
le...
Existing super-resolution models for pathology images can only work in f...
Accurate segmentation of multiple organs of the head, neck, chest, and
a...
Unsupervised domain adaptation (UDA) aims to learn a model trained on so...
Computer-aided pathology diagnosis based on the classification of Whole ...
Histopathological images contain abundant phenotypic information and
pat...
Multiple Instance Learning (MIL) is widely used in analyzing
histopathol...
Image fusion is a technique to integrate information from multiple sourc...
In this paper, we propose TransMEF, a transformer-based multi-exposure i...