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Found 4 papers, 1 papers with code
Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images
Coarse multi-objective feature selection uses the reduced search space strategy guided by the classification accuracy and the number of features.
Gram Barcodes for Histopathology Tissue Texture Retrieval
Recent advances in digital pathology have led to the need for Histopathology Image Retrieval (HIR) systems that search through databases of biopsy images to find similar cases to a given query image.
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
To use image search as a triaging/diagnosis tool, all chest X-ray images must first be tagged with identifiers, i. e., deep features.
A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images
During the last decade, the digitization of pathology has gained considerable momentum.
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