Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer with a poor prognosis, necessitating improved early detection methods. Current research heavily focuses on developing and refining deep learning models, particularly convolutional neural networks (CNNs) and transformer architectures, often incorporating generative adversarial networks (GANs) for data augmentation to overcome the limitations of small datasets. These models are being used for automated tumor segmentation and classification, sometimes incorporating clinically relevant secondary features and patient meta-information to improve diagnostic accuracy and predict treatment response. Advances in this area hold significant potential to improve patient outcomes through earlier and more accurate diagnosis.