Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

SKIN CANCER is one of the most common malignancies, originating in the epidermis and strongly linked to excessive ultraviolet exposure from sunlight or tanning beds. In 2023 the United States recorded ...

Zeiss Medical Technology has received CE mark approval for its CIRRUS PathFinder, a clinical support tool that utilises AI to ...