Automated Assessment Implementation of Subcutaneous Adipose & Visceral Adipose Tissues in Human Abdominal Area

被引：0

作者：

Zgallai, Walid A. ^{[1
]}

Brown, Teye ^{[1
]}

Dalah, Entesar Z. ^{[2
]}

Obaideen, Abdulmunhem K. ^{[3
]}

Faris, MoezAlIslam E. ^{[4
]}

机构：

[1] Higher Coll Technol, Fac Engn Technol & Sci, Dubai, U Arab Emirates

[2] Dubai Hlth Author, Clin Support Serv & Nursing Sect, CEO Off, HQ, Dubai, U Arab Emirates

[3] Univ Hosp Sharjah UHS, Dept Med Diagnost Imaging, Sharjah, U Arab Emirates

[4] Univ Sharjah, Dept Clin Nutr & Dietet, Coll Hlth Sci, Sharjah, U Arab Emirates

来源：

2021 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB 2021), 9TH EDITION | 2021年

关键词：

Convolutional neural networks; Deep learning; Magnetic Resonance Imaging; Subcutaneous adipose tissue; Visceral adipose tissue;

D O I：

10.1109/EHB52898.2021.9657752

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

An implementation of a novel method to automate the assessment of the abdominal subcutaneous adipose tissue and visceral adipose tissue which have been detected in MRI images for obese subjects is described. Deep learning has been exploited with a view of SAT / VAT quantification. The study aims to optimize the clinicians' time. VAT results are promising.

引用

页数：4

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