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Convolutional module for heart localization and segmentation in MRI
[article]
2021
arXiv
pre-print
Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Deep learning (DL) models perform several tasks in cardiac MRI (CMR) images with good efficacy, such as segmentation, estimation, and detection of diseases. Many DL models based on convolutional neural networks (CNN) were improved by detecting regions-of-interest (ROI) either automatically or by hand. In this paper we describe Visual-Motion-Focus (VMF), a module that detects the heart
arXiv:2107.09134v1
fatcat:msdr2zcwsjhpjj4xw3o6u6qwmu