Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

With the advent of the big data era, the application of artificial intelligence represented by
deep learning in medicine has become a hot topic. In gastroenterology, deep learning has …

Objective The aim of this study was to develop and validate a deep learning-based radiomic
(DLR) model combined with clinical characteristics for predicting pathological complete …

In computer-aided diagnosis and treatment planning, accurate segmentation of medical
images plays an essential role, especially for some hard regions including boundaries …

Background Tongue squamous cell carcinoma (TSCC) is the most common subtype of oral
cavity squamous cell carcinoma (OCSCC), and it also has the worst prognosis. It is crucial to …

Rationale and Objectives Pancreatic cancer is a common malignant tumor with a dismal
prognosis. Preoperative differentiation of extrapancreatic extension (EPE) based on …

Neuroendocrine neoplasms (NENs) and tumors (NETs) are rare neoplasms that may affect
any part of the gastrointestinal system. In this scoping review, we attempt to map existing …

Pancreas segmentation has been traditionally challenging due to its small size in computed
tomography abdominal volumes, high variability of shape and positions among patients, and …

Background Postoperative liver metastasis significantly impacts the prognosis of pancreatic
neuroendocrine tumor (panNET) patients after R0 resection. Combining computational …

Differential diagnosis of tumors is important for computer-aided diagnosis. In computer-
aided diagnosis systems, expert knowledge of lesion segmentation masks is limited as it is …