A new PRISMA-guided systematic review compiles 72 studies and twelve open datasets to map how deep learning, from U-Net to ...
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 ...
A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without ...
Deep learning has transformed the automatic delineation of brain tumours in magnetic resonance imaging by enabling end-to-end systems that learn rich hierarchical features from raw data. Convolutional ...