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20192021
most citedMemory-aware curriculum federated learning for breast cancer classification

109 citations · 109 across the 4 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020

Lightweight U-Net for High-Resolution Breast Imaging

Mickael Tardy, Diana Mateus

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 accept…

eess.IV2020

Improving Mammography Malignancy Segmentation by Designing the Training Process

Mickael Tardy, Diana Mateus

We work on the breast imaging malignancy segmentation task while focusing on the training process instead of network complexity. We designed a training process based on a modified…