A recent study from Breast Cancer Research introduces a deep learning model that guides precise dissection during robotic mastectomy. Incorporating mEfficientDet, YOLO v5, and RetinaNet, the model achieves DSCs around 0.82. Consider its potential for enhancing surgical training and improving patient outcomes.

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Development of a Deep Learning-Based Model for Guiding Dissection in Robotic Breast Surgery