Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

Cardiac cine Magnetic Resonance (MR) Imaging is primarily used for assessment of cardiac function and diagnosis of Cardiovascular diseases (CVDs). Cardiac MRI is considered the most accurate method for the estimation of clinical parameters such as ejection fraction, ventricular volumes, stroke volume and myocardial mass. Delineating important organs and structures from volumetric medical images, such as MR and computed tomography (CT) images, is usually considered the primary step for estimating clinical parameters, disease diagnosis, prediction of prognosis and surgical planning.

Source: Medical Image Analysis - October 19, 2018 Category: Radiology Authors: Mahendra Khened, Varghese Alex, Ganapathy Krishnamurthi Source Type: research