White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...

The wrapper consistently crashes with segmentation fault (exit code -11) when attempting to access most topics from a ZED X One GS camera. The component initializes successfully and connects to the ...

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 ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

主要是改 function.py 與 utils.py 、kits.py皆已更新至github上 kits23的資料集請依連結教學指示下載:https://github.com/neheller/kits23/blob/main ...