Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography

Autor: Gomez, Alberto, Porumb, Mihaela, Mumith, Angela, Judge, Thierry, Gao, Shan, Kim, Woo-Jin Cho, Oliveira, Jorge, Chartsias, Agis

We propose a new method to automatically contour the left ventricle on 2D echocardiographic images. Unlike most existing segmentation methods, which are based on predicting segmentation masks, we focus at predicting the endocardial contour and the ke

Externí odkaz: http://arxiv.org/abs/2207.06330

Disentangled Representations for Domain-generalized Cardiac Segmentation

Autor: Liu, Xiao, Thermos, Spyridon, Chartsias, Agis, O'Neil, Alison, Tsaftaris, Sotirios

Publikováno v: Liu, X, Thermos, S, Chartsias, A, O'Neil, A & Tsaftaris, S 2021, Disentangled Representations for Domain-generalized Cardiac Segmentation . in STACOM: International Workshop on Statistical Atlases and Computational Models of the Heart : Statistical Atlases and Computational Models of the Heart. M &Ms and EMIDEC Challenges . Lecture Notes in Computer Science, vol. 12592, pp. 187-195, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Lima, Peru, 4/10/20 . https://doi.org/10.1007/978-3-030-68107-4_19

Robust cardiac image segmentation is still an open challenge due to the inability of the existing methods to achieve satisfactory performance on unseen data of dfferent domains. Since the acquisition and annotation of medical data are costly and time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3094::518b391b3ffb80b49cb91a6fd832b8c7
https://hdl.handle.net/20.500.11820/61cf8150-8315-4be2-8452-bac73731bb4e