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 ...

Researchers recently created Sybil, an AI model that can predict someone's future lung cancer risk from a single CT scan. A study on the model and the algorithm itself was developed by the Mass ...

The software creates a 3D lung model based on a patient’s CT scan. Surgeons can see the size, location and proportions of tumors within the lungs to not only plan the procedure but to help guide ...

As such, researchers are investigating the feasibility of alternatives such as MR or CT ventilation imaging. CT ventilation imaging (CTVI) uses a treatment planning 4D-CT scan ... 3D neural network ...

To assess malignancy risk, researchers reviewed all CT scans performed as part of a lung cancer screening programme between ...