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

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

Purpose: To develop and evaluate an automated segmentation method for accurate quantification of abdominal adipose tissue (AAT) depots (superficial subcutaneous adipose tissue [SSAT], deep subcutaneous adipose tissue [DSAT], and visceral adipose tissue [VAT]) in neonates and young children. Materia...

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Bibliographic Details
Main Authors: Kway, Yeshe Manuel, Thirumurugan, Kashthuri, Tint, Mya Thway, Michael, Navin, Shek, Lynette Pei-Chi, Yap, Fabian Kok Peng, Tan, Kok Hian, Godfrey, Keith M., Chong, Yap Seng, Fortier, Marielle Valerie, Marx, Ute C., Eriksson, Johan G., Lee, Yung Seng, Velan, S. Sendhil, Feng, Mengling, Sadananthan, Suresh Anand
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2023
Subjects:
Science::Medicine
Deep Learning
Convolutional Neural Networks
Online Access:https://hdl.handle.net/10356/164171

Internet

https://hdl.handle.net/10356/164171

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