English

Lightweight U-Net for High-Resolution Breast Imaging

Computer Vision and Pattern Recognition 2020-11-30 v1
Authors: Mickael Tardy , Diana Mateus
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Abstract

We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We work on a supervised segmentation task looking for an acceptable compromise between the precision of the network and the computational complexity.

Keywords

brain tumor segmentation medical image analysis convolutional neural network

Cite

@article{arxiv.2011.13698,
  title  = {Lightweight U-Net for High-Resolution Breast Imaging},
  author = {Mickael Tardy and Diana Mateus},
  journal= {arXiv preprint arXiv:2011.13698},
  year   = {2020}
}

Comments

in Proceedings of iTWIST'20, Paper-ID: 30, Nantes, France, December, 2-4, 2020

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