[HTML][HTML] A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
MR Avendi, A Kheradvar, H Jafarkhani - Medical image analysis, 2016 - Elsevier
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI)
datasets is an essential step for calculation of clinical indices such as ventricular volume and …
datasets is an essential step for calculation of clinical indices such as ventricular volume and …
Fast automatic myocardial segmentation in 4D cine CMR datasets
A novel automatic 3D+ time left ventricle (LV) segmentation framework is proposed for
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
[HTML][HTML] Artificial intelligence will transform cardiac imaging—opportunities and challenges
SE Petersen, M Abdulkareem, T Leiner - Frontiers in cardiovascular …, 2019 - frontiersin.org
Artificial intelligence (AI) using machine learning techniques will change healthcare as we
know it. While healthcare AI applications are currently trailing behind popular AI …
know it. While healthcare AI applications are currently trailing behind popular AI …
Multi-views fusion CNN for left ventricular volumes estimation on cardiac MR images
Objective: Left ventricular (LV) volume estimation is a critical procedure for cardiac disease
diagnosis. The objective of this paper is to address a direct LV volume prediction task …
diagnosis. The objective of this paper is to address a direct LV volume prediction task …
Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation
We propose a new recurrent generative adversarial architecture named RNN-GAN to
mitigate imbalance data problem in medical image semantic segmentation where the …
mitigate imbalance data problem in medical image semantic segmentation where the …
Automatic initialization and quality control of large-scale cardiac MRI segmentations
Continuous advances in imaging technologies enable ever more comprehensive
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
Estimation of the volume of the left ventricle from MRI images using deep neural networks
Segmenting human left ventricle (LV) in magnetic resonance imaging images and
calculating its volume are important for diagnosing cardiac diseases. The latter task became …
calculating its volume are important for diagnosing cardiac diseases. The latter task became …
Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm
XX Li, B Li, LF Tian, L Zhang - IET Image Processing, 2018 - Wiley Online Library
Classification of benign and malignant pulmonary nodules can provide useful indicators for
estimating the risk of lung cancer. In this study, an improved random forest (RF) algorithm is …
estimating the risk of lung cancer. In this study, an improved random forest (RF) algorithm is …