A Multi-task based Deep Learning Framework with Landmark Detection For MRI Couinaud Segmentation

A Multi-task based Deep Learning Framework with Landmark Detection For MRI Couinaud Segmentation 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Abstract:

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. Methods and procedures: This research presents a novel approach to automating liver segmentation by identifying seven key anatomical landmarks using …

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