The advent of 3D Gaussian Splatting (3D-GS) techniques and their dynamic scene modeling
variants, 4D-GS, offers promising prospects for real-time rendering of dynamic surgical …

Abdominal organ segmentation is the segregation of a single or multiple abdominal organ
(s) into semantic image segments of pixels identified with homogeneous features such as …

Automatic segmentation of the pancreas from medical images is important for clinical
assessment of pancreas-related diseases. However, pancreatic segmentation based on …

Airway segmentation is critical for virtual bronchoscopy and computer-aided pulmonary
disease analysis. In recent years, convolutional neural networks (CNNs) have been widely …

Automatic pancreas segmentation of CT scans enables physicians to identify and monitor
the abnormalities in the pancreas. This facilitates intraoperative assistance, surgical …

Background and objective Automatic thymoma segmentation in preoperative contrast-
enhanced computed tomography (CECT) images makes great sense for diagnosis …

Due to the relatively small size and complex internal structure of the pancreas, the
segmentation is often inaccurate during image processing. A more effective automatic …

The survival rate for pancreatic cancer is among the worst, with a mortality rate of 98%.
Diagnosis in the early stage of the disease is the main factor that defines the prognosis …