Papers Right Ventricle Segmentation
“Right Ventricle Segmentation” 태그가 달린 논문 5편 · 필터 해제
Segmenting Medical Images: From UNet to Res-UNet and nnUNet
This study provides a comparative analysis of deep learning models including UNet, Res-UNet, Attention Res-UNet, and nnUNet, and evaluates their performance in brain tumour, polyp, and multi-class heart segmentation task…
DiagnosticHeart SegmentationMyocardium SegmentationRight Ventricle Segmentation+1The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Domain shift refers to the difference in the data distribution of two datasets, normally between the training set and the test set for machine learning algorithms. Domain shift is a serious problem for generalization of …
Left Ventricle SegmentationRight Ventricle SegmentationSegmentationAutomatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI
Accurate segmentation of the right ventricle (RV) is a crucial step in the assessment of the ventricular structure and function. Yet, due to its complex anatomy and motion segmentation of the RV has not been as largely s…
AnatomyMotion SegmentationRight Ventricle SegmentationSegmentationA Generative Adversarial Model for Right Ventricle Segmentation
The clinical management of several cardiovascular conditions, such as pulmonary hypertension, require the assessment of the right ventricular (RV) function. This work addresses the fully automatic and robust access to on…
ManagementmodelRight Ventricle SegmentationA Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
Automated cardiac segmentation from magnetic resonance imaging datasets is an essential step in the timely diagnosis and management of cardiac pathologies. We propose to tackle the problem of automated left and right ven…
Cardiac SegmentationManagementRight Ventricle SegmentationSegmentation