The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed
for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic …

The pancreas is a vital glandular organ in the abdomen that plays an essential role in
digestion and metabolism [1, 2]. The pancreas has two parts, including exocrine and …

Central to the Transformer architectures' effectiveness is the self-attention mechanism, a
function that maps queries, keys, and values into a high-dimensional vector space …

Abstract Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant pancreas
lesions, and they can progress into pancreatic cancer. Therefore, detecting and stratifying …

Purpose The goal of this work is to explore the best optimizers for deep learning in the
context of medical image segmentation and to provide guidance on how to design …

Intracranial aneurysm is a common life-threatening disease, and the rupture of an
intracranial aneurysm carries a high risk of morbidity and mortality. Due to their small size in …

Pancreatic cancer remains one of the leading causes of cancer-related mortality worldwide.
Precise segmentation of pancreatic tumors from medical images is a bottleneck for effective …

Liver cirrhosis, the end stage of chronic liver disease, is characterized by extensive bridging
fibrosis and nodular regeneration, leading to an increased risk of liver failure, complications …

Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression
and prognosis, emphasizing the critical need for accurate detection and assessment in …