조성태 교수 연구실
article|
gold
·인용수 24
·2024
Deep Learning Model for Real‑time Semantic Segmentation During Intraoperative Robotic Prostatectomy
Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn, Sahyun Pak
European Urology Open Science
초록
We demonstrate the potential effectiveness of deep learning segmentation in robotic prostatectomy procedures. Deep learning algorithms could be used to identify anatomical structures within the surgical field and may provide real-time guidance in robotic surgery.
키워드
Sørensen–Dice coefficientConvolutional neural networkArtificial intelligenceSegmentationComputer scienceDeep learningProstatectomyRobotic surgeryDiceVas deferens