GitHub

Interactive MATLAB GUI for real-time rock segmentation using VGG16-UNet re-trained network with adjustable mask post-processing

This MATLAB application provides an intuitive graphical interface for rock segmentation in geological images using a pre-trained VGG16-UNet deep learning model. The GUI features real-time parameter ...
GitHub

FatihEmreGD/Brain_Tumor_Segmentation

This project implements a hybrid deep learning system for detecting and segmenting brain tumors from MRI images using MATLAB. It integrates YOLOv2 for object detection, ResNet50 as a feature extractor ...
IEEE

Synergistic Fusion Network of Microscopic Hyperspectral and RGB Images for Multi-perspective Segmentation

Abstract: Accurate segmentation of diverse structures in pathological images is crucial for medical analysis. While widely used RGB images offer high spatial resolution, microscopic hyperspectral ...
IEEE

Enhanced Segmentation of Lesions in Medical Images using DTA-Transunet

Abstract: The aim of the study is to improve lesion segmentation from medical images using the DTA-TransUNet model, which includes Triplet Attention and DCNv3 to improve flexibility and accuracy. Its ...
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.