Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children

10.1148/ryai.2021200304

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Main Authors: Kway, YM, Thirumurugan, K, Tint, MT, Michael, N, Shek, LPC, Yap, FKP, Tan, KH, Godfrey, KM, Chong, YS, Fortier, MV, Marx, UC, Eriksson, JG, Lee, YS, Velan, SS, Feng, M, Sadananthan, SA
Other Authors: DEAN'S OFFICE (MEDICINE)
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Published: Radiological Society of North America (RSNA) 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/216277
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spelling sg-nus-scholar.10635-2162772024-04-25T06:19:50Z Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children Kway, YM Thirumurugan, K Tint, MT Michael, N Shek, LPC Yap, FKP Tan, KH Godfrey, KM Chong, YS Fortier, MV Marx, UC Eriksson, JG Lee, YS Velan, SS Feng, M Sadananthan, SA DEAN'S OFFICE (MEDICINE) OBSTETRICS & GYNAECOLOGY PAEDIATRICS DUKE-NUS MEDICAL SCHOOL Convolutional Neural Networks Deep Learning Deep and Superficial Subcutaneous Adipose Tissue Image Segmentation Pediatrics Visceral Adipose Tissue Water-Fat MRI 10.1148/ryai.2021200304 Radiology: Artificial Intelligence 3 5 e200304- 2022-02-25T08:36:04Z 2022-02-25T08:36:04Z 2021-09-01 2022-02-24T06:11:40Z Article Kway, YM, Thirumurugan, K, Tint, MT, Michael, N, Shek, LPC, Yap, FKP, Tan, KH, Godfrey, KM, Chong, YS, Fortier, MV, Marx, UC, Eriksson, JG, Lee, YS, Velan, SS, Feng, M, Sadananthan, SA (2021-09-01). Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children. Radiology: Artificial Intelligence 3 (5) : e200304-. ScholarBank@NUS Repository. https://doi.org/10.1148/ryai.2021200304 26386100 https://scholarbank.nus.edu.sg/handle/10635/216277 Radiological Society of North America (RSNA) Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Convolutional Neural Networks
Deep Learning
Deep and Superficial Subcutaneous Adipose Tissue
Image Segmentation
Pediatrics
Visceral Adipose Tissue
Water-Fat MRI
spellingShingle Convolutional Neural Networks
Deep Learning
Deep and Superficial Subcutaneous Adipose Tissue
Image Segmentation
Pediatrics
Visceral Adipose Tissue
Water-Fat MRI
Kway, YM
Thirumurugan, K
Tint, MT
Michael, N
Shek, LPC
Yap, FKP
Tan, KH
Godfrey, KM
Chong, YS
Fortier, MV
Marx, UC
Eriksson, JG
Lee, YS
Velan, SS
Feng, M
Sadananthan, SA
Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
description 10.1148/ryai.2021200304
author2 DEAN'S OFFICE (MEDICINE)
author_facet DEAN'S OFFICE (MEDICINE)
Kway, YM
Thirumurugan, K
Tint, MT
Michael, N
Shek, LPC
Yap, FKP
Tan, KH
Godfrey, KM
Chong, YS
Fortier, MV
Marx, UC
Eriksson, JG
Lee, YS
Velan, SS
Feng, M
Sadananthan, SA
format Article
author Kway, YM
Thirumurugan, K
Tint, MT
Michael, N
Shek, LPC
Yap, FKP
Tan, KH
Godfrey, KM
Chong, YS
Fortier, MV
Marx, UC
Eriksson, JG
Lee, YS
Velan, SS
Feng, M
Sadananthan, SA
author_sort Kway, YM
title Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
title_short Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
title_full Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
title_fullStr Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
title_full_unstemmed Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children
title_sort automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in mri of neonates and young children
publisher Radiological Society of North America (RSNA)
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/216277
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