Deep Learning Model for Real‑time Semantic Segmentation During Intraoperative Robotic Prostatectomy

Deep Learning Model for Real‑time Semantic Segmentation During Intraoperative Robotic Prostatectomy

Background and objective: Recently, deep learning algorithms, including convolutional neural networks (CNNs), have shown remarkable progress in medical imaging analysis. Semantic segmentation, which segments an unknown image into different parts and objects, has potential applications in robotic sur...

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Bibliographic Details
Main Authors: Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn, Sahyun Pak
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:European Urology Open Science
Subjects:
Prostatectomy
Artificial intelligence
Deep learning
Segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168324002623

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http://www.sciencedirect.com/science/article/pii/S2666168324002623

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