Abstract: Diffractive optical imaging spectroscopy as a promising miniaturized and high throughput portable spectral imaging technique suffers from the problem of low precision and slow speed, which ...

Abstract: How can local and global features be comprehensively considered to optimize dense prediction tasks, like medical image segmentation? To overcome this problem, this study showed an ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...