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

• 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: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; Deep Learning; Convolutional Neural Networks
• Online Access: https://hdl.handle.net/10356/164171
• Institution: Nanyang Technological University

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...