Aug 10, 2021 · This meta-repository creates a framework that enables the evaluation of AI models on any screening mammography data set. At its inception, our ...
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This metarepository is a project aimed to accelerate and standardize research and evaluation in deep learning for screening mammography.
Aug 10, 2021 · The meta-repository enables machine learning performance comparisons across screening mammography classifiers and datasets.
This meta-repository creates a framework that enables the evaluation of AI models on any screening mammography data set. At its inception, our meta-repository ...
Aug 16, 2021 · This meta-repository creates a framework that enables the evaluation of machine learning models on any private or public screening mammography ...
Aug 10, 2021 · This meta-repository creates a framework that enables the evaluation of machine learning models on any private or public screening mammography ...
Aug 11, 2021 · As of now, meta-repository offers five mammography classifiers, and we use the meta-repository to evaluate all models on five international ...
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This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast cancer diagnostics with ...
In this paper, we propose a methodological approach for multi-view breast cancer classification based on parameterized hypercomplex neural networks.
Meta-repository of screening mammography classifiers · 1 code implementation • 10 Aug 2021 • Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, ...