Abstract: Semi-supervised learning methods based on the mean teacher model have achieved great success in the field of 3-D medical image segmentation. However, most of the existing methods provide ...
Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...
This is the PyTorch implementation of our MICCAI 2024 paper "Robust Semi-Supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration" by Xiaogen Zhou, Yiyou Sun, Min Deng, Winnie ...
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...
Abstract: Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that ...
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