Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network-Reference-Cited by-同舟云学术

Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network

Published:2019-12-28 Issue:04 Volume:6 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Ni Renkun¹,Meyer Craig H.²,Blemker Silvia S.²,Hart Joseph M.³,Feng Xue¹

Affiliation:

1. Springbok, Inc., Charlottesville, Virginia

2. University of Virginia, Department of Biomedical Engineering, Charlottesville, Virginia

3. University of Virginia, Department of Kinesiology, Charlottesville, Virginia

Funder

National Science Foundation

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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5. Adding muscle where you need it: non-uniform hypertrophy patterns in elite sprinters

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