Tag: Medical Imaging

A two-cycle audit of 640 radiology request forms from private clinics in Asaba, Nigeria, found no fully completed forms at ...

Diffusion-enhanced AI framework segments and classifies brain tumors with 98.1% accuracy

A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable brain tumor segmentation and ...

Dual-branch AI fuses local and global MRI features to sort brain tumors with 99% accuracy

by Cassandra Pierce

A dual-path attention fusion network combining Swin Transformer and frozen DINOv2 features reached 99.24% accuracy on a leakage-screened hold-out test ...

Anatomy-guided AI reconstructs chest CT scans from sparse X-ray views

by Blake Davidson

A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...

Deep learning model reads chest X-rays for pneumonia and tuberculosis in Ethiopia

by Blake Davidson

A customized VGG19 deep learning model trained on 2,100 chest X-rays from Ethiopian hospitals classified pneumonia and tuberculosis with 99% ...

Head-to-head benchmark ranks EfficientNet-B0 top for spotting enamel caries in intraoral photos

A controlled benchmark of five CNN architectures on 2,000 intraoral photographs found EfficientNet-B0 led with 98.18 percent accuracy, though no ...

Deep learning matches expert radiologists at outlining rectal tumors on MRI

by Nathaniel Bowman

A multicenter study of 603 rectal cancer patients found that a deep learning network segmented rectal tumors on MRI with ...

Web Platform Puts Three Deep Learning Models to Work on Brain Tumor MRI Scans

by Nathaniel Bowman

A new open-access study presents a modular web platform that classifies brain tumor MRI scans in real time using a ...

AI Reads Routine Chest CTs to Flag Osteoporosis in Early Study