This work deals with a method based on a fuzzy hidden Markov chain with bi-dimensional data for unsupervised segmentation of fuzzy images. Often, to apply the hidden Markov chain model on image ...

Segmenting blood vessels in medical images is critical for applications such as disease diagnosis and treatment planning. This study introduces EyeU-Net, a novel deep learning model based on the U-Net ...

A multi-dimensional spatial image data structure for scientific Python. To facilitate: Multi-scale processing and analysis Registration Resampling Subregion parallel processing Coupling with meshes, ...

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 ...