Automatic Abdominal Hernia Mesh Detection Based on YOLOM
Author:
Affiliation:
1. Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China
2. Department of Electronic Engineering, Yunnan University, Kunming, China
Funder
Natural Science Foundation of China
Priority Union Foundation of Yunnan Provincial Science and Technology Department, Kunming Medical University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729717.pdf?arnumber=9729717
Reference29 articles.
1. The Clinical Utility of Automated Breast Volume Scanner: A Pilot Study of 139 Cases
2. Diagnostic Value of an Automated Breast Volume Scanner for Abdominal Hernias
3. Intelligent speckle reducing anisotropic diffusion algorithm for automated 3-D ultrasound images
4. Identification of Implanted Mesh After Incisional Hernia Repair Using an Automated Breast Volume Scanner
5. Pore texture analysis in automated 3D breast ultrasound images for implanted lightweight hernia mesh identification: a preliminary study
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