A Multi-task based Deep Learning Framework with Landmark Detection For MRI Couinaud Segmentation https://www.embs.org/jtehm/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png
Objective: To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommodating the complex anatomy and significant variations, optimizing surgical approaches, reducing postoperative complications, and preserving liver function.… read more