Classification Of Breast Cancer Histology Images
4 papers with code • 0 benchmarks • 1 datasets
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Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
In this step, a parameterized hypercomplex neural network (PHNN) is employed to perform breast cancer classification.
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
This paper presents results of applying Inception v4 deep convolutional neural network to ICIAR-2018 Breast Cancer Classification Grand Challenge, part a.
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Convolutional neural networks can be trained to perform histology slide classification using weak annotations with multiple instance learning (MIL).
Convolutional capsule network for classification of breast cancer histology images
Automatization of the diagnosis of any kind of disease is of great importance and it's gaining speed as more and more deep learning solutions are applied to different problems.
Classification of breast cancer histology images using transfer learning
Breast cancer is one of the leading causes of mortality in women.
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.
