AsmaBaccouche / Connected-Unets-and-more

Basic UNet, AUNet, and ResNet architecture models and new variations: Connected-UNets, Connected-AUNets, and Connected-ResUNets architecture models

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Connected-Unets-and-more

Custom algorithms for breast lesions segmentation: Basic UNet, AUNet, and ResUNet architecture models; Connected-UNets, Connected-AUNets, and Connected-ResUNets architecture models

Paper published at Nature Partner Journal NPJ Breast Cancer

Please cite:

Baccouche, A., Garcia-Zapirain, B., Castillo Olea, C., & Elmaghraby, A. S. (2021). Connected-UNets: a deep learning architecture for breast mass segmentation. NPJ Breast Cancer, 7(1), 1-12.

https://www.nature.com/articles/s41523-021-00358-x

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Basic UNet, AUNet, and ResNet architecture models and new variations: Connected-UNets, Connected-AUNets, and Connected-ResUNets architecture models


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