조성태 교수 연구실
article|
인용수 9
·2024
Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers
Sahyun Pak, Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Won‐Chul Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn
IF 2.1Investigative and Clinical Urology
초록
Deep learning models provided accurate segmentation of the surgical instruments and anatomical structures observed during RARP. Both CNN and transformer models showed reliable predictions in the segmentation task; however, CNN models may be more suitable than transformer models for organ segmentation and may be more applicable in unusual cases. Further research with large datasets is needed.
키워드
MedicineConvolutional neural networkDeep learningArtificial intelligenceSegmentationProstatectomyComputer scienceProstateInternal medicine