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Automated abdominal segmentation of CT scans for body composition analysis using deep learning
Purpose To develop and evaluate a fully automated algorithm for segmenting the abdomen
from CT to quantify body composition. Materials and Methods For this retrospective study, a …
from CT to quantify body composition. Materials and Methods For this retrospective study, a …
Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks
Objectives Body tissue composition is a long-known biomarker with high diagnostic and
prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in …
prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in …
Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort
Objective: To investigate a fully automated CT-based adiposity tool, applying it to a
longitudinal adult screening cohort. Methods: A validated automated adipose tissue …
longitudinal adult screening cohort. Methods: A validated automated adipose tissue …
An effective CNN method for fully automated segmenting subcutaneous and visceral adipose tissue on CT scans
Z Wang, Y Meng, F Weng, Y Chen, F Lu, X Liu… - Annals of biomedical …, 2020 - Springer
One major role of an accurate distribution of abdominal adipose tissue is to predict disease
risk. This paper proposes a novel effective three-level convolutional neural network (CNN) …
risk. This paper proposes a novel effective three-level convolutional neural network (CNN) …
Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction
Purpose The purpose of this study is to compare fully automated CT-based measures of
adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which …
adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which …
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank
Objective The objective was to develop a fully automated algorithm for abdominal fat
segmentation and to deploy this method at scale in an academic biobank. Materials and …
segmentation and to deploy this method at scale in an academic biobank. Materials and …
A fast graph-based algorithm for automated segmentation of subcutaneous and visceral adipose tissue in 3D abdominal computed tomography images
I Kucybała, Z Tabor, S Ciuk, R Chrzan… - Biocybernetics and …, 2020 - Elsevier
The aim of the study was to create an accurate method of automated subcutaneous (SAT)
and visceral (VAT) adipose tissue detection basing on three-dimensional (3D) computed …
and visceral (VAT) adipose tissue detection basing on three-dimensional (3D) computed …
An effective automatic segmentation of abdominal adipose tissue using a convolution neural network
C Micomyiza, B Zou, Y Li - … & Metabolic Syndrome: Clinical Research & …, 2022 - Elsevier
Background and aims Computer-aided diagnosis and prognosis rely heavily on fully
automatic segmentation of abdominal fat tissue using Emission Tomography images. The …
automatic segmentation of abdominal fat tissue using Emission Tomography images. The …
Deep learning for abdominal adipose tissue segmentation with few labelled samples
Z Wang, AH Hounye, J Zhang, M Hou, M Qi - International Journal of …, 2022 - Springer
Purpose Fully automated abdominal adipose tissue segmentation from computed
tomography (CT) scans plays an important role in biomedical diagnoses and prognoses …
tomography (CT) scans plays an important role in biomedical diagnoses and prognoses …
Using Adipose Measures from Health Care Provider‐Based Imaging Data for Discovery
The location and type of adipose tissue is an important factor in metabolic syndrome. A
database of picture archiving and communication system (PACS) derived abdominal …
database of picture archiving and communication system (PACS) derived abdominal …