Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

This repo contains a PyTorch an implementation of different semantic segmentation models for different datasets. Note that when using COCO dataset, 164k version is used per default, if 10k is prefered ...

Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...

A new study in The New England Journal of Medicine revealed that the PRIMA brain computer interface (BCI) retinal implant helped people with advanced age-related macular degeneration regain some ...

Abstract: The change of layer thickness of retina and choroid is closely related to eye diseases. In clinical applications, optical coherence tomography (OCT) is utilized to visualize retina and ...