ahajournals.org17d
Abstract WP222: External Validation of an Automated Hemorrhage Detection and Segmentation Algorithm on Follow-up CT scans in the AcT trial
Methods: A novel segmentation architecture based on denoising diffusion probabilistic models was utilized for segmenting hemorrhage. The model had been trained upon a set of 331 CT scans with manually ...
Medical Xpress26d
Deep learning model helps detect lung tumors on CT scans
Accurate detection and segmentation of lung tumors on CT scans is critical for monitoring cancer progression, evaluating treatment responses and planning radiation therapy. Currently, experienced ...