Machine Learning for Engineering & Science Applications | IIT Madras - #96 Applications | Cardiac MRI | Segmentation & Diagnosis

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture explores the exciting world of medical image analysis using deep learning! We'll focus on analyzing cardiac MRI scans, a critical tool for diagnosing heart conditions. You'll learn about the importance of segmenting the heart's key structures: the myocardium, left ventricle, and right ventricle. We'll walk through a powerful pipeline that uses Convolutional Neural Networks (CNNs) to automatically segment these regions and extract clinically relevant features. The segmented images can be used to calculate important metrics like ejection fraction, helping doctors assess heart function. We'll also discuss how to use an ensemble of classifiers to diagnose heart diseases based on these extracted features, paving the way for automated cardiac diagnosis. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #CardiacMRI #Segmentation #Diagnosis #CNN #FullyConvolutional #MultiScale #Residual #DenseNets #EnsembleOfClassifiers #Preprocessing #Myocardium #LeftVentricle #RightVentricle #Systole #Diastole #EjectionFraction