A review on right ventricle cardiac MRI segmentation

The cardiac MRI segmentation specifically for the Right Ventricle (RV) through organising individual pixel of a medical image need a sequential dataset for the Deep learning approach. The most vital image segmentation for the fully automatic method is simplifying the demarcation, classification, and visualisation regions. The segmentation of the cMRI complex anatomy of the RV chamber is most challenging. The trabeculations in RV with signal intensity and shape from base to apex as in crescent shape myocardium's complex varies from base to apex depending upon heavy augmentations and image protocol. The global context of segmentation for the successful classification of a medical image is essential to achieve the human annotator margin. The future research direction and approaches can be drawn through analysing variant reports of active researchers.