Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier BernardAlain LalandeClément ZottiFrederic CervenanskyXin YangPheng-Ann HengIrem CetinKarim LekadirOscar CamaraMiguel Ángel González BallesterGerard SanromaSandy NapelSteffen E. PetersenGeorgios TziritasElias GriniasMahendra KhenedAlex VargheseGanapathy KrishnamurthiMarc-Michel RohéXavier PennecMaxime SermesantFabian IsenseePaul JaegerKlaus H. Maier-HeinPeter M. FullIvo WolfSandy EngelhardtChristian F. BaumgartnerLisa M. KochJelmer M. WolterinkIvana IsgumYeonggul JangYoonmi HongJay PatravaliShubham JainOlivier HumbertPierre-Marc JodoinPublished in: IEEE Trans. Medical Imaging (2018)
Keyphrases
- deep learning
- brain scans
- medical images
- brain structures
- mr imaging
- long axis
- fully automatic
- magnetic resonance imaging
- left ventricle
- mri images
- magnetic resonance images
- medical imaging
- machine learning
- unsupervised learning
- tagged mri
- heart disease
- unsupervised feature learning
- mr images
- carotid artery
- image segmentation
- mri data
- segmentation algorithm
- weakly supervised
- segmentation method
- pairwise
- multiscale
- mental models
- object segmentation
- manual segmentation
- level set
- text mining
- reinforcement learning