Segmentation of the atrial chambers in medical imaging is fundamental to the diagnosis and management of atrial fibrillation and related cardiac disorders. Deep learning techniques, particularly ...

Net-based deep learning framework that measures fetal ventricular width from ultrasound with near-expert consistency, reaching 98.20 percent diagnostic accuracy ...

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental conditions, but very few have been validated or deployed in real ...

The quest for efficient 3D plant shoot segmentation, vital for extracting plant phenotypic traits, has driven the integration of deep learning with point clouds. Traditional 2D methods, while ...