IEEE

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Abstract: Segmentation of livers and liver tumors is one of the most important steps in radiation therapy of hepatocellular carcinoma. The segmentation task is often done manually, making it tedious, ...
GitHub

Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

This repository is for our paper: 'Mutual Consistency Learning for Semi-supervised Medical Image Segmentation'. Note that, the MC-Net+ model is named as mcnet3d_v2 in our repository and we also ...
GitHub

DCT-Net: Domain-Calibrated Translation for Portrait Stylization

(2023-03-14) The training guidance has been released, train DCT-Net with your own style data. (2023-02-20) Two new style pre-trained models (design, illustration) trained with combined DCT-Net and ...
IEEE

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

Abstract: With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categories of CS ...