Despite its scale, AbdomenAtlas represents only 0.05% of the CT scans taken in the U.S. each year. The researchers hope more ...

featuring more than 45,000 3D CT scans of 142 annotated anatomical structures from 145 hospitals worldwide—more than 36 times larger than its closest competitor, TotalSegmentator V2. The dataset ...

For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...

A new artificial intelligence model has demonstrated high accuracy in detecting and outlining lung tumors on CT scans, ...

And 3D dental CT scans are rarely needed ... When you might need a CT scan: Lung-cancer screening makes sense for current or former smokers between the ages of 55 and 80 who smoked the equivalent ...

Exposure to radiation from head or neck CT imaging increased risk for childhood brain tumors, according to results of a ...

AI-driven deep learning models surpass expert radiologists in diagnosing kidney tumors using CT scans. The study highlights ...

Johns Hopkins researchers created the AbdomenAtlas, a dataset with technology artificial intelligence (AI) containing 45.000 ...

Computer scientists used AI to create the largest abdominal organ dataset yet in under two years—a task that would have taken two millennia for humans alone The dataset will help researchers around ...

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in Radiology. The findings of the study could have important implications for lung ...