Cancer-no cancer per breast classification
2 papers with code • 2 benchmarks • 2 datasets
Two view cancer-no cancer classification. In mammography exams, two images from each breast are taken (CC and MLO views). The model then takes as input the two and predicts a class pre breast.
Benchmarks
These leaderboards are used to track progress in Cancer-no cancer per breast classification
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InBreast
Most implemented papers
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network
dpetrini/two-views-classifier
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IEEE Access 2022
To ensure statistical robustness, we test our system twice using: (a) 5-fold cross validation; and (b) the original training/test division of the dataset.
Multi-View Hypercomplex Learning for Breast Cancer Screening
ispamm/phbreast
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To overcome such limitations, in this paper, we propose a methodological approach for multi-view breast cancer classification based on parameterized hypercomplex neural networks.
