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Found 4 papers, 1 papers with code
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics
Melanoma is a type of cancer that begins in the cells controlling the pigment of the skin, and it is often referred to as the most dangerous skin cancer.
Deep Learning for Predicting Metastasis on Melanoma WSIs
Melanoma prognosis is based on a pathologist's subjective visual analysis of the patient's tumor.
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images
Accurate segmentation of tissue in histopathological images can be very beneficial for defining regions of interest (ROI) for streamline of diagnostic and prognostic tasks.
Nested Multiple Instance Learning with Attention Mechanisms
Strongly supervised learning requires detailed knowledge of truth labels at instance levels, and in many machine learning applications this is a major drawback.
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