Cargando…

A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images

Epicardial fat (ECF) is localized fat surrounding the heart muscle or myocardium and enclosed by the thin-layer pericardium membrane. Segmenting the ECF is one of the most difficult medical image segmentation tasks. Since the epicardial fat is infiltrated into the groove between cardiac chambers and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Siriapisith, Thanongchai, Kusakunniran, Worapan, Haddawy, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670388/ https://www.ncbi.nlm.nih.gov/pubmed/34977354 http://dx.doi.org/10.7717/peerj-cs.806

Ejemplares similares

A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm
por: Siriapisith, Thanongchai, et al.
Publicado: (2022)

Multi-level pooling encoder–decoder convolution neural network for MRI reconstruction
por: Karnjanapreechakorn, Sarattha, et al.
Publicado: (2022)

COVID-19 detection and heatmap generation in chest x-ray images
por: Kusakunniran, Worapan, et al.
Publicado: (2021)

Epoch and accuracy based empirical study for cardiac MRI segmentation using deep learning technique
por: Das, Niharika, et al.
Publicado: (2023)

Quantification of epicardial fat using non contrast cardiac CT in an HIV population: Reproducibility and association with other body fat indices
por: Sadouni, Manel, et al.
Publicado: (2021)

OC_Finder: Osteoclast Segmentation, Counting, and Classification Using Watershed and Deep Learning
por: Wang, Xiao, et al.
Publicado: (2022)

Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images
por: Lefevre, Edgar, et al.
Publicado: (2022)

Subcutaneous, Paracardiac, and Epicardial Fat CT Density Before/After Contrast Injection: Any Correlation with CAD?
por: Monti, Caterina Beatrice, et al.
Publicado: (2021)

Quantification of Epicardial Fat by Cardiac CT Imaging
por: Coppini, Giuseppe, et al.
Publicado: (2010)

Comparative transcriptomics analysis of contrasting varieties of Eucalyptus camaldulensis reveals wind resistance genes
por: Shang, Xiuhua, et al.
Publicado: (2022)

Comprehensive profile and contrastive analysis of circular RNA expression in cervical squamous carcinoma and adenocarcinoma
por: Luo, Hongxue, et al.
Publicado: (2023)

Contrast optimization of mass spectrometry imaging (MSI) data visualization by threshold intensity quantization (TrIQ)
por: Rosas-Román, Ignacio, et al.
Publicado: (2021)

Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images
por: Algarni, Mona, et al.
Publicado: (2022)

Contrasting association of Leptin receptor polymorphisms and haplotypes with polycystic ovary syndrome in Bahraini and Tunisian women: a case–control study
por: Dallel, Meriem, et al.
Publicado: (2021)

Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images
por: Nguyen, Hai Thanh, et al.
Publicado: (2021)

3D Structure From 2D Microscopy Images Using Deep Learning
por: Blundell, Benjamin, et al.
Publicado: (2021)

Segmentation of biventricle in cardiac cine MRI via nested capsule dense network
por: Zhang, Jilong, et al.
Publicado: (2022)

Genomics enters the deep learning era
por: Routhier, Etienne, et al.
Publicado: (2022)

A pipeline for automated deep learning liver segmentation (PADLLS) from contrast enhanced CT exams
por: Senthilvelan, Jayasuriya, et al.
Publicado: (2022)

A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks
por: Mu, Yongcheng, et al.
Publicado: (2021)

Gait recognition using a few gait frames
por: Yao, Lingxiang, et al.
Publicado: (2021)

DeepRaccess: high-speed RNA accessibility prediction using deep learning
por: Hara, Kaisei, et al.
Publicado: (2023)

Deep learning for MYC binding site recognition
por: Fioresi, R., et al.
Publicado: (2022)

A proof-of-concept pipeline to guide evaluation of tumor tissue perfusion by dynamic contrast-agent imaging: Direct simulation and inverse tracer-kinetic procedures
por: Vignon-Clementel, Irene E., et al.
Publicado: (2023)

Intracerebral Haemorrhage Segmentation in Non-Contrast CT
por: Patel, Ajay, et al.
Publicado: (2019)

COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
por: Alshazly, Hammam, et al.
Publicado: (2021)

Identification of key genes and pathways affected in epicardial adipose tissue from patients with coronary artery disease by integrated bioinformatics analysis
por: Tan, Liao, et al.
Publicado: (2020)

PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information
por: Liu, Xia, et al.
Publicado: (2022)

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
por: Bhandari, Nikita, et al.
Publicado: (2021)

Different analysis strategies of 16S rRNA gene data from rodent studies generate contrasting views of gut bacterial communities associated with diet, health and obesity
por: Garcia-Mazcorro, Jose F., et al.
Publicado: (2020)

Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
por: He, Kan, et al.
Publicado: (2021)

DeepBindRG: a deep learning based method for estimating effective protein–ligand affinity
por: Zhang, Haiping, et al.
Publicado: (2019)

piRNN: deep learning algorithm for piRNA prediction
por: Wang, Kai, et al.
Publicado: (2018)

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
por: Fernandes, Kelwin, et al.
Publicado: (2018)

Deep Learning Encoding for Rapid Sequence Identification on Microbiome Data
por: Borgman, Jacob, et al.
Publicado: (2022)

Caveats to Deep Learning Approaches to RNA Secondary Structure Prediction
por: Flamm , Christoph, et al.
Publicado: (2022)

Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans
por: Hoori, Ammar, et al.
Publicado: (2022)

DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction
por: Wang, Zhe, et al.
Publicado: (2023)

DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation
por: Zhang, Haiping, et al.
Publicado: (2020)

An integration of deep learning with feature embedding for protein–protein interaction prediction
por: Yao, Yu, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_akcodk5khnosmq17pgpvmfa4pj