Towards an AI-based assessment model of surgical difficulty during early phase laparoscopic cholecystectomy-Reference-Cited by-同舟云学术

Towards an AI-based assessment model of surgical difficulty during early phase laparoscopic cholecystectomy

Published:2023-01-22 Issue:4 Volume:11 Page:1299-1306
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Abbing Julian. R.¹²^ORCID,Voskens Frank J.¹²,Gerats Beerend G. A.¹²^ORCID,Egging Ruby M.¹²,Milletari Fausto³,Broeders Ivo A.M.J.¹²^ORCID

Affiliation:

1. Surgery Department, Meander Medical Centre, Amersfoort, The Netherlands

2. Robotics and Mechatronics, University of Twente, Enschede, The Netherlands

3. Digital sollutions, Johnson & Johnson Medical GmbH, Hamburg, Germany

Funder

Johnson & Johnson

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2163296

Reference22 articles.

1. Ali M, Ochoa-Ruiz G, Ali S. 2022. A semi-supervised teacher-student framework for surgical tool detection and localization. https://arxiv.org/abs/2208.09926.

2. Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis

3. Difficult Laparoscopic Cholecystectomy and Trainees: Predictors and Results in an Academic Teaching Hospital

4. Biewald L. 2020. Experiment tracking with weights and biases. Software available from wandb.com. https://www.wandb.com/.

5. Gagana B, Shukla N, Pathak C, Garda K, Holdroyd T, Broz DJ. 2019. Class activation maps. Oct. https://medium.com/@GaganaB/class-activation-maps-551477720679.

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