Go offline with the Player FM app!
Automated Abdominal Adipose Tissue Mapping in Adolescents: Deep Learning Meets MRI
Manage episode 376853249 series 2590544
Full article: https://www.ajronline.org/doi/10.2214/ajr.23.29570
Childhood obesity is a growing epidemic globally. Precisely quantifying abdominal fat distribution on MRI could be valuable for research and clinical care, but manual segmentation is extremely tedious. Farzaneh Ghazi Sherbaf, MD discusses a recent study in which the authors developed and validated an AI method to automatically segment subcutaneous and visceral abdominal fat on MRI in adolescents. The work has implications for making obesity research and care more effective through automated, personalized abdominal fat mapping.
99 episodes
Manage episode 376853249 series 2590544
Full article: https://www.ajronline.org/doi/10.2214/ajr.23.29570
Childhood obesity is a growing epidemic globally. Precisely quantifying abdominal fat distribution on MRI could be valuable for research and clinical care, but manual segmentation is extremely tedious. Farzaneh Ghazi Sherbaf, MD discusses a recent study in which the authors developed and validated an AI method to automatically segment subcutaneous and visceral abdominal fat on MRI in adolescents. The work has implications for making obesity research and care more effective through automated, personalized abdominal fat mapping.
99 episodes
All episodes
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.