In this study, the ultrasound liver images are studied to build a computer-aided automatic
early detection system for the identification of cysts, tumors and cancers by analyzing their …

Ultrasound as a noninvasive imaging technique is widely used to diagnose liver diseases.
Texture analysis and classification of ultrasound liver images have become an important …

The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm
combined with ultrasound endoscopy in early esophageal cancer and precancerous lesions …

Background Endoscopic ultrasonography (EUS) is useful for the differential diagnosis of
subepithelial lesions (SELs); however, not all of them are easy to distinguish …

Background Machine learning has led to several endoscopic studies about the automated
localization of digestive lesions and prediction of cancer invasion depth. Training and …

A diagnosis of pancreatic cancer is one of the worst cancers that may be received anywhere
in the world; the five‐year survival rate is very less. The majority of cases of this condition …

OBJECTIVE. The objective of our study was to determine the utility of radiomics features in
differentiating CT cases of pancreatic ductal adenocarcinoma (PDAC) from normal …

RATIONALE AND OBJECTIVES: Computer-aided diagnosis (CAD) systems based on shape
analysis have been proved to be highly accurate in evaluating breast tumors. However, it …

Advances in clinical medical imaging have brought about the routine production of vast
numbers of medical images that need to be analyzed. As a result an enormous amount of …

The liver is essential for endurance and to carry out a large number of significant functions,
including manufacture of indispensable proteins, and metabolism of fats and carbohydrates …