IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
IEEE

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...
IEEE

Deformation-Resilient Multigranularity Learning for Unaligned RGB–T Semantic Segmentation

Abstract: RGB–Thermal semantic segmentation (SS) aims to combine visual light and thermal images to determine the semantic category for each pixel and create an object mask. While existing methods ...
IEEE

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Abstract: Accurate medical image segmentation is vital for clinical quantification, disease diagnosis, treatment planning, and other applications. Convolution-based U-shaped architectures excel at ...
IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...