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

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 ...

The Sørensen–Dice coefficient for segmentation of the kidneys with RCC was 0.92. Conclusions: These results demonstrate that two CNNs can be used in succession to segment the kidneys with RCC on a ...

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

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

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...