Efficient Medical Image Segmentation with Intermediate Supervision Mechanism

no code implementations • 15 Nov 2020 • Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu

However, U-Net is mainly engaged in segmentation, and the extracted features are also targeted at segmentation location information, and the input and output are different.

Image Segmentation Medical Image Segmentation +2

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution

no code implementations • 15 Nov 2020 • Bo wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu

Non-local attention and feature learning by multi-scale methods are widely used to model network, which drives progress in medical image segmentation.

Image Segmentation Medical Image Segmentation +2

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey

no code implementations • 2 Nov 2020 • Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu

Computer-Aided Diagnosis and Treatment of Tumors is a hot topic of deep learning in recent years, which constitutes a series of medical tasks, such as detection of tumor markers, the outline of tumor leisures, subtypes and stages of tumors, prediction of therapeutic effect, and drug development.