Existing deep learning-based tongue image segmentation models face issues such as poor versatility and insufficient expressiveness in zero-shot tasks. This study aims to construct an efficient model ...

Well, they can. Models can be created that allow patients to self-segment in ways more accurate and relevant than ever before. The patient segmentation model discussed here divides the patient ...

This project aims at providing an easy-to-use, modifiable reference implementation for real-time semantic segmentation models using PyTorch.

However, SAM is more resource-intensive, and despite improved inference time of SAM 2.1, Eff-UNet is more suitable for automatic segmentation in high-resolution data. This research details strengths ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

The Indian insurance market once struggled with limited data, relying on broad categories for pricing and product development ...

Market segmentation theory shows bond interest rates are set independently per maturity segment. The yield curve plots differences in yields across various bond maturities to assess economic ...

The median of volume, overlap, and distance segmentation metrics were determined for agreement in lesion segmentations between (1) three experts, (2) the majority model and each expert, and (3) the ...

Computer vision programming is a rapidly growing field that empowers machines to interpret and understand the visual world, ...

India], January 4: embedUR systems, a leader in embedded solutions and Edge AI technologies, is proud to join ...