A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI.
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| Title: | A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. |
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| Authors: | Kway YM; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Thirumurugan K; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore., Michael N; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore., Tan KH; Duke-National University of Singapore Graduate Medical School, Singapore; Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore., Godfrey KM; MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom., Gluckman P; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore., Chong YS; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Venkataraman K; Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore., Khoo EYH; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Khoo CM; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Medicine, National University Health System, Singapore., Leow MK; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Endocrinology, Division of Medicine, Tan Tock Seng Hospital (TTSH), Singapore., Tai ES; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore., Chan JK; Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore; Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore., Chan SY; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Eriksson JG; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland., Fortier MV; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore., Lee YS; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore., Velan SS; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore., Feng M; Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; Institute of Data Science, National University of Singapore, Singapore., Sadananthan SA; Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore. Electronic address: suresh@sics.a-star.edu.sg. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2023 Dec; Vol. 167, pp. 107608. Date of Electronic Publication: 2023 Oct 18. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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