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Found 3 papers, 2 papers with code
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping
Whole-slide image analysis via the means of computational pathology often relies on processing tessellated gigapixel images with only slide-level labels available.
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records
In medical image diagnosis, identifying the attention region, i. e., the region of interest for which the diagnosis is made, is an important task.
Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning
To address this problem, we employ attention-based multiple instance learning, which enables us to focus on tumor-specific regions when the similarity between cases is computed.
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