lich0031

AIDE

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

AUNet

Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

Cross-Modal-Seg

HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Mammographic_Density_Classification

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch

lich0031/AIDE

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

lich0031/AUNet

Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

lich0031/Mammographic_Density_Classification

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning

lich0031/Cross-Modal-Seg

lich0031/HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

lich0031/pytorch-deeplab-xception

DeepLab v3+ model in PyTorch