BACKGROUND:: EUS can detect morphologic abnormalities of pancreatic cancer with high
sensitivity but with limited specificity. OBJECTIVE:: To develop a classification model for …

BACKGROUND: Concomitant changes of chronic pancreatitis markedly degrade the
performance of EUS in diagnosing pancreatic adenocarcinoma (PC). Digital image analysis …

Background Differentiating pancreatic cancer (PC) from normal tissue by computer-aided
diagnosis of EUS images were quite useful. The current study was designed to investigate …

EUS-guided tissue acquisition carries certain risks from unnecessary needle puncture in the
low-likelihood lesions. Artificial intelligence (AI) system may enable us to resolve these …

Background: The differentiation of focal pancreatitis and pancreatic adenocarcinoma is
problematic and often resolved only by pancreaticoduodenectomy. EUS is the most …

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 …

Aim: The aim was to develop a high-performance computer-aided diagnosis (CAD) system
with image processing and pattern recognition in diagnosing pancreatic cancer by using …

Background: Pancreatic cancer (PC) is a highly fatal malignancy with a global overall 5-year
survival of under 10%. Screening of PC is not recommended outside of clinical trials …

Background and Aims Computer-aided diagnosis of EUS images was quite useful in
differentiating pancreatic cancer from normal tissue and chronic pancreatitis. This study …

Abstract Background and Aims Endoscopic ultrasonography‐guided fine‐needle
aspiration/biopsy (EUS‐FNA/B) is considered to be a first‐line procedure for the pathological …