Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.

Staining is a crucial step in histopathology that prepares tissue sections for microscopic examination. Hematoxylin and eosin (H&E) staining, also known as basic or routine staining, is used in 80% of histopathology slides worldwide. To enhance the histopathology workflow, recent research has focused on integrating generative artificial intelligence and deep learning models.

A selective approach to the surgical management of periampullary cancer patients and its outcome.

Background: Pancreaticoduodenectomy is a high risk, complex, technically challenging operation associated with significant perioperative morbidity and mortality. This study on the surgical management of periampullary cancer patients is based on our experience in a period of nearly 13 years.

Methods: The study was conducted on two groups of patients: group A included 42 patients who were treated between January 2000 and September 2005 and group B included 134 patients who were treated between October 2005 to October 2012.

Pancreaticoduodenectomy: a comparison of superior approach with classical Whipple's technique.

Background: Pancreaticoduodenectomy (PD) is the standard procedure for resecting tumors arising from the periampullary area and the pancreatic head. Nevertheless this procedure is inherently difficult and associated with high morbidity and mortality. Besides, the technique applied for exposing the portal and superior mesenteric veins is time-consuming, difficult and associated with the risk of major venous injury.