A Deep Learning-Based and Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis from 3D Echocardiography

no code implementations • 21 Feb 2023 • Riccardo Munafò, Simone Saitta, Giacomo Ingallina, Paolo Denti, Francesco Maisano, Eustachio Agricola, Alberto Redaelli, Emiliano Votta

The trained 3D CNN achieved an average Dice score of 0. 79 and MSD of 0. 47 mm for the combined segmentation of the annulus, anterior and posterior leaflet.

Anatomy Segmentation

Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography

no code implementations • 13 Aug 2020 • Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann

The segmentation of the mitral valve annulus and leaflets specifies a crucial first step to establish a machine learning pipeline that can support physicians in performing multiple tasks, e. g.\ diagnosis of mitral valve diseases, surgical planning, and intraoperative procedures.

Collaborative Filtering Segmentation