Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions-Reference-Cited by-同舟云学术

Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions

Published:2019-06-26 Issue:2 Volume:54 Page:270-275
ISSN:0960-7692
Container-title:Ultrasound in Obstetrics & Gynecology
language:en
Short-container-title:Ultrasound Obstet Gynecol

Author:

Noort F.¹²^ORCID,Vaart C. H.²^ORCID,Grob A. T. M.³^ORCID,Waarsenburg M. K.²^ORCID,Slump C. H.¹^ORCID,Stralen M.⁴^ORCID

Affiliation:

1. Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, Technical Medical Center University of Twente Enschede The Netherlands

2. Department of Reproductive Medicine and Gynecology University Medical Center Utrecht The Netherlands

3. Multi‐modality Medical Imaging, Faculty of Science and Technology, Technical Medical Center University of Twente Enschede The Netherlands

4. Imaging Division University Medical Center Utrecht Utrecht The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Obstetrics and Gynaecology,Radiology Nuclear Medicine and imaging,Reproductive Medicine,General Medicine,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/uog.20181

Reference28 articles.

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2. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

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