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.

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

Deep Learning Segmentation: A deep convolutional neural network (DCNN) was trained to recognize and segment organelles automatically based on their optical fingerprints (Figure 2).

Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...

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

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 ...

Study demonstrates the potential of deep learning algorithms to predict Parkinson's disease (PD) through retinal fundus imaging, offering a non-invasive, early diagnostic tool.