Automatic Plane of Minimal Hiatal Dimensions Extraction From 3D Female Pelvic Floor Ultrasound-Reference-Cited by-同舟云学术

Automatic Plane of Minimal Hiatal Dimensions Extraction From 3D Female Pelvic Floor Ultrasound

Published:2022-12 Issue:12 Volume:41 Page:3873-3883
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Xia Wenyao¹,Ameri Golafsoun²,Fakim Djalal³,Akhuanzada Humayon³,Raza Malik Z.³,Shobeiri S. Abbas⁴,McLean Linda⁵,Chen Elvis C. S.⁶^ORCID

Affiliation:

1. Robarts Research Institute, Western University, London, ON, Canada

2. Cosm Medical, Toronto, ON, Canada

3. Schulich School of Medicine and Dentistry, Western University, London, ON, Canada

4. Department of Bioengineering, George Mason University, Fairfax, VA, USA

5. Faculty of Health Sciences, School of Rehabilitation Sciences, Ottawa-Carleton Institute of Biomedical Engineering, University of Ottawa, Ottawa, ON, Canada

6. Department of Medical Biophysics, Robarts Research Institute, Western University, London, ON, Canada

Funder

NVIDIA Corporation

Mitacs through the Mitacs Accelerate Program

Canadian Institutes of Health Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9969446/09863685.pdf?arnumber=9863685

Reference41 articles.

1. A Computational Approach to Edge Detection

2. Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network

3. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks

4. CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation

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