GitHub

A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation

This repository contains MATLAB implementations for the paper: A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation. In industrial computed ...
GitHub

Alien0427/Image-captioning-and-segmentation

This project combines Image Captioning and Image Segmentation using deep learning techniques. It can generate descriptive captions for images while also identifying and labeling different regions ...
IEEE

MambaDiff: Mamba-Enhanced Diffusion Model for 3D Medical Image Segmentation

Abstract: Accurate 3D medical image segmentation is crucial for diagnosis and treatment. Diffusion models demonstrate promising performance in medical image segmentation tasks due to the progressive ...
IEEE

Region Uncertainty Estimation for Medical Image Segmentation with Noisy Labels

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
Ars Technica

New AI model can “cut out” any object within an image—and Meta is sharing the code

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.
marktechpost

GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...