Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

Abstract: Retinal image segmentation is of key significance in clinical diagnosis and disease detection, however, the traditional manual segmentation is time-consuming and prone to segmentation errors ...

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

We finally have our first glimpse of Lady Gaga in Wednesday. Netflix shared an image of the pop star as Rosaline Rotwood, teasing it with the caption “A vision in venom.” The photograph shows Gaga ...

A warehouse manager showed me his "secret weapon": Excel. He was a wiz; he knew all the tricks. But I kept thinking this single Excel file was the only thing connecting a $2 million monthly operation ...

Abstract: In this paper, we are exploring deep learning based image segmentation methods and evaluating the performance of different deep learning models in image segmentation tasks. U-Net, DeepLabv3+ ...

ABSTRACT: Contour is an important pattern descriptor in image processing and particularly in region description, registration and length estimation. In many applications where contour is used, a good ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

Scientists have created an AI tool that could help doctors identify diseases quickly and accurately using only a small number of medical images. Credit: Victoria Kotlyarchuk/iStock A new artificial ...