Researchers have developed an image-driven deep learning framework that couples plant classification and segmentation with ...

Researchers validated a disease-specific deep learning architecture that accurately automates metabolic tumor volume segmentation in Hodgkin lymphoma positron-emission tomography scans.

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 ...

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 ...

MRIs are among the most accurate imaging tests used to diagnose brain tumors, and MRI-based monitoring of tumors guides critical treatment decisions. The clinical standard for measuring tumors often ...