Nature

Deep Learning Applications in Prostate Image Segmentation articles from across Nature Portfolio

The EURO-PROBE dataset provides manually created segmentations of the prostate and intraprostatic urethra on axial T2-weighted MRI volumes, complementing the existing LUND-PROBE (LUND Prostate ...
Nature

Deep Learning Applications in Atrial Image Segmentation

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 ...
BIOENGINEER

Lightweight AI Network Brings Accurate Skin-Lesion Segmentation to Edge Devices

Researchers have developed LMANet, a lightweight multiscale attention network that achieves high-accuracy skin-lesion ...
BIOENGINEER

AI Reads the Microscope: Deep Learning Powers Parasite Diagnosis, But Real-World Tests Lag Behind

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 ...
Phys.org

Revolutionizing plant phenotyping: 3D plant shoot segmentation with deep learning

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 ...