EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
EurekAlert!

Medical image segmentation using multi-head self-attention-based residual double u-net

The MHSAttResDU-Net incorporates RCC for complexity control and improved generalization under varying lighting. The SSRP unit in encoder-decoder blocks reduces feature map dimensions, capturing key ...
Medical Xpress

New AI model uses federated learning for multi-organ segmentation based on medical image data

Researchers have successfully developed the technology that can accurately segment different body organs by effectively learning medical image data used for different purposes in different hospitals, ...

After Nano Banana Pro: China’s AI Image Models Are Closing The Gap

Can AI image models preserve identity across edits, follow complex instructions, and combine existing assets without visual ...