Real-time robust liver and gallbladder segmentation during laparoscopic cholecystectomy using convolutional neural networks: an analysis
Aim: Images in different laparoscopic cholecystectomy datasets are acquired using various camera models, parameters, and settings, with the annotation methods varying by institution. These factors result in inconsistent inference performance of the network model. This study aims to identify the opti...
類似資料
-
Use of Deep Learning for Liver Segmentation during Laparoscopic Cholecystectomy
著者:: Ghobadighadikalaei, 等
出版事項: (2024) -
Challenges and solutions of deep learning-based automated liver segmentation: A systematic review
著者:: Ghobadi V.; Ismail L.I.; Wan Hasan W.Z.; Ahmad H.; Ramli H.R.; Norsahperi N.M.H.; Tharek A.; Hanapiah F.A.
出版事項: (2025) -
Challenges and solutions of deep learning-based automated liver segmentation: A systematic review
著者:: 2-s2.0-85211072233
出版事項: (2025) -
Laparoscopic management of a large extragonadal teratoma
著者:: 2-s2.0-85126089838
出版事項: (2022) -
The association of ultrasound assessment of gallbladder wall thickness with dengue fever severity
著者:: Ibrahim M.A.; Hamzah S.S.; Md Noor J.; Mohamad M.I.K.; Mokhtar M.F.; Isa M.R.; Abdul Rani M.F.
出版事項: (2022)