Understanding net worth in the United States is about more than just doing the math of assets minus debts. It involves looking at wealth and income from a variety of lenses, including age, education, ...
Abstract: Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches ...
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, ...
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 ...
(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 ...
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