Nature

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network

Medical image segmentation is crucial in modern healthcare for diagnosis, treatment planning, and monitoring. It involves precise delineation of anatomical structures and pathological regions, ...
Nature

A deep convolutional neural network-based novel class balancing for imbalance data segmentation

Retinal fundus images provide valuable insights into the human eye’s interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurate segmentation of ...
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 ...