Background: Contrast-enhanced endoscopic ultrasound (CE-EUS) is useful for the
differentiation of pancreatic tumors. Using deep learning for the segmentation and …

Background Early detection of solid pancreatic masses through contrast‐enhanced
harmonic endoscopic ultrasound (CH‐EUS) is important. But CH‐EUS is difficult to learn …

Simple Summary Surgical therapy is critical to pancreatic cancer survival. The segmentation
of pancreatic cancer in endoscopic ultrasonography (EUS) images can provide critical …

Abstract Background and Aims Distinguishing pancreatic cancer from nonneoplastic masses
is critical and remains a clinical challenge. The study aims to construct a deep learning …

Abstract Background/Purpose The application of artificial intelligence to clinical diagnostics
using deep learning has been developed in recent years. In this study, we developed an …

Background and Aims EUS is considered one of the most sensitive modalities for pancreatic
cancer detection, but it is highly operator-dependent and the learning curve is steep. In this …

Pancreatic Cancer (PC) is one of the most aggressive cancers, with a mortality rate of 98%.
Although the diagnosis of PC is difficult in early stages, several imaging techniques support …

Background and aims Endoscopic ultrasonography (EUS) is commonly utilized in the
diagnosis of pancreatic tumors, although as this modality relies primarily on the practitioner's …

The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the
automated diagnosis of pancreatic cyst lesions on endoscopic ultrasonography (EUS) …

The increasing incidence of pancreatic cancer will make it the second deadliest cancer in
2030. Imaging based early diagnosis and image guided treatment are emerging potential …