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 ...
A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
The Alternative for Germany, or AfD, has adopted a code of conduct for its members, without changing its positions on immigration and other issues. By Jim Tankersley and Christopher F. Schuetze ...
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 ...
This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
I carefully read the paper that discussed the usage of the glyphreader for OCR of hieroglyphics. This repository only contains the classifier. But where can I find the code you used for the ...
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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