Automated multi-organ segmentation has emerged as a cornerstone of modern medical imaging, enabling precise delineation of anatomical structures in modalities such as computed tomography (CT) and ...

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, ...

In medical imaging, deep learning (DL) models often struggle to delineate ambiguous structures such as tumors or organ boundaries, leading to uncertainty in defining precise contours. This challenge ...

The segmentation details produced by different methods are shown in focus in the blue rectangular box areas. The proposed method performs better than other methods. Medical image segmentation is a ...