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Found 5 papers, 1 papers with code
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images
The feature extractor model is fine-tuned using hierarchical target labels of WSIs, i. e., anatomic site and primary diagnosis.
Searching for Pneumothorax in Half a Million Chest X-Ray Images
To the best of knowledge, it is the first study to demonstrate that deep pretrained features can be used for CBIR of pneumothorax in half a million chest X-ray images.
Learning Permutation Invariant Representations using Memory Networks
Many real-world tasks such as classification of digital histopathology images and 3D object detection involve learning from a set of instances.
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections
In recent years, histopathology images have been increasingly used as a diagnostic tool in the medical field.
Deep Barcodes for Fast Retrieval of Histopathology Scans
We investigate the concept of deep barcodes and propose two methods to generate them in order to expedite the process of classification and retrieval of histopathology images.
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