Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

DHS shared the image after announcing an Indiana ICE detention center. IndyCar said they were not aware of the Department of Homeland Security (DHS) plan to release an AI-generated image of an IndyCar ...

Spinal health forms the cornerstone of the overall human body functionality with the lumbar spine playing a critical role and prone to various types of injuries due to inflammation and diseases, ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Abstract: Flower image classification poses a challenge in digital image processing, requiring effective methods for feature extraction and classification. The aim of this research is to improve the ...

Abstract: Brain tumor is a malicious growth on surface of the brain or within the brain tissues, it is a life-threatening disease which can spread to other vital parts with slow pace, if not detected ...

This project implements a multi-task nnU-Net v2 pipeline for pancreas and lesion segmentation from 3D CT scans. The model leverages a shared encoder for feature extraction and dual decoders for ...