Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …

Real-world medical image segmentation has tremendous long-tailed complexity of objects,
among which tail conditions correlate with relatively rare diseases and are clinically …

Human readers or radiologists routinely perform full-body multi-organ multi-disease
detection and diagnosis in clinical practice, while most medical AI systems are built to focus …

Radiology plays an important role in the initial diagnosis and staging of patients with
pancreatic ductal adenocarcinoma (PDAC). CT is the preferred modality over MRI due to …

Precision radiotherapy is a critical and indispensable cancer treatment means in the modern
clinical workflow with the goal of achieving “quality-up and cost-down” in patient care. The …

Background The determination of pathological grading has a guiding significance for the
treatment of pancreatic ductal adenocarcinoma (PDAC) patients. However, there is a lack of …

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited
treatment options. This research proposes a workflow and deep learning-based …

Peritoneal washing cytology (CY) in patients with pancreatic cancer is mainly used for
staging; however, it may also be used to evaluate the intraperitoneal status to predict a more …