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Histopathological Image Classification

3 papers with code · Medical

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Regression Concept Vectors for Bidirectional Explanations in Histopathology

9 Apr 2019medgift/iMIMIC-RCVs

Explanations for deep neural network predictions in terms of domain-related concepts can be valuable in medical applications, where justifications are important for confidence in the decision-making.

BREAST CANCER DETECTION BREAST CANCER HISTOLOGY IMAGE CLASSIFICATION DECISION MAKING HISTOPATHOLOGICAL IMAGE CLASSIFICATION

7
09 Apr 2019

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

2 Feb 2018alexander-rakhlin/ICIAR2018

In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification.

BREAST CANCER DETECTION BREAST CANCER HISTOLOGY IMAGE CLASSIFICATION HISTOPATHOLOGICAL IMAGE CLASSIFICATION IMAGE CLASSIFICATION

146
02 Feb 2018

Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning

16 Jun 2015tiepvupsu/DICTOL

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures.

DICTIONARY LEARNING HISTOPATHOLOGICAL IMAGE CLASSIFICATION IMAGE CLASSIFICATION

105
16 Jun 2015