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 ...
Nature

Colorectal Polyp Detection and Segmentation Using Deep Learning

Colorectal polyp detection and segmentation represent critical components in the early diagnosis and treatment of colorectal cancer. Recent advances in deep learning have markedly enhanced the ...
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 ...
Semiconductor Engineering

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the ...