The applications of artificial intelligence (AI), including machine learning and deep learning,
in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the …

The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

The segmentation of pancreas is important for medical image analysis, yet it faces great
challenges of class imbalance, background distractions, and non-rigid geometrical features …

In the study and research of medical images, the sharp and smooth pancreatic segmentation
challenge is a critical and challenging one. The most widely utilized and effective technique …

This paper presents an automated multi-organ segmentation method for 3D abdominal CT
images based on a spatially-divided probabilistic atlases. Most previous abdominal organ …

Accurate pancreas segmentation is crucial for the diagnostic assessment of pancreatic
cancer. However, large position changes, high variability in shape and size, and the …

The pancreas is a highly variable organ, the size, shape, and position of which are affected
by age, sex, adiposity, the presence of diseases affecting the pancreas (eg, diabetes …

Background and objective: Pancreas cancer is a digestive tract tumor with high malignancy,
which is difficult for diagnosis and treatment at early time. To this end, this paper proposes a …

Automatic and reliable segmentation of the pancreas is an important but difficult task for
various clinical applications, such as pancreatic cancer radiotherapy and computer-aided …

Pancreas segmentation is one of the most challenging tasks in medical image segmentation
for its anatomical variability, large individual differences, irregular shape, small volume and …