Pancreatic Tumor
Pancreatic tumor research focuses on improving early detection and accurate diagnosis, crucial due to the disease's poor prognosis. Current efforts leverage artificial intelligence, particularly deep learning models like convolutional neural networks (CNNs), transformers, and denoising diffusion models, to analyze medical images (CT scans, pathology slides) and patient metadata for improved segmentation, classification, and grading of tumors. These methods are being developed to address challenges like limited annotated data by incorporating techniques such as synthetic data generation and weakly supervised learning. Ultimately, advancements in this field aim to enhance diagnostic accuracy, leading to earlier intervention and improved patient outcomes.