Breast Cancer Histology Image Classification

8 papers with code • 1 benchmarks • 2 datasets

This task has no description! Would you like to contribute one?

Latest papers with no code

Rotation-Agnostic Image Representation Learning for Digital Pathology

no code yet • 14 Nov 2023

This paper addresses complex challenges in histopathological image analysis through three key contributions.

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification

no code yet • 11 Oct 2023

In this step, a parameterized hypercomplex neural network (PHNN) is employed to perform breast cancer classification.

Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers

no code yet • 22 Feb 2023

Convolution Neural Networks (CNNs) are widely used in medical image analysis, but their performance degrade when the magnification of testing images differ from the training images.

Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification

no code yet • 21 Oct 2018

Microscopic histology image analysis is a cornerstone in early detection of breast cancer.

Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification

no code yet • 3 Feb 2018

In this work, we present a deep learning framework for multi-class breast cancer image classification as our submission to the International Conference on Image Analysis and Recognition (ICIAR) 2018 Grand Challenge on BreAst Cancer Histology images (BACH).