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Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images
The second component is a hard attention classification model, which further extracts a sequence of multi-resolution glimpses from each tile for classification.
Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer
Unlike previous studies on MSI prediction involving training a CNN using coarse labels (MSI vs Microsatellite Stable (MSS)), we have utilised fine-grain MMR labels for training purposes.
Deep Feature based Cross-slide Registration
During the slide preparation, a tissue section may be placed at an arbitrary orientation as compared to other sections of the same tissue block.
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Digital histology images are amenable to the application of convolutional neural network (CNN) for analysis due to the sheer size of pixel data present in them.
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images
Convolutional neural networks (CNNs) have been recently used for a variety of histology image analysis.
Classification
Classification Of Breast Cancer Histology Images
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