Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...
I noticed that in the DINOv3 repository, there are training scripts for linear probing (linear.py), k-NN (eval_knn.py), and logistic regression (eval_log_reg.py) heads, as well as corresponding main ...
Siqi Zhang*, Qizhe Zhang*, Shanghang Zhang*†, Xiaohong Liu*, Jingkun Yue*, Ming Lu, Huihuan Xu, Jiaxin Yao, Xiaobao Wei, Jiajun Cao, Xiang Zhang, Ming Gao, Jun Shen ...
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...
Department of Earth Sciences, Royal Holloway University of London, Egham, United Kingdom We report the results of pore-network analysis of high resolution synchrotron microtomographic images of ...
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