EurekAlert!

Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation

Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...
News Medical

Advancements in MRI brain tumor segmentation with improved U-net model

The brain is responsible for the "general command" of human thinking and coordination of the body. Thus, various brain diseases can cause great damage to the human body and nervous system. Brain ...
Yahoo Finance

Andrew Zhou’s 3D U-Net Model Advances Brain Metastasis Segmentation and Streamlines MRI-to-3D Surgical Planning on HoloLens, Featured in XYZ Media's “Next Generation of ...

LOS ANGELES, Nov. 06, 2024 (GLOBE NEWSWIRE) -- XYZ Media, a leading media and marketing company at the intersection of education and technology, is excited to announce its latest feature in the “Next ...
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 ...