PROJECT TITLE :

Automated Identification of Infarcted Myocardium Tissue Characterization Using Ultrasound Images: A Review

ABSTRACT:

Myocardial infarction (MI) or acute myocardial infarction commonly referred to as heart attack is one in all the key causes of cardiac death worldwide. It occurs when the blood offer to the portion of the guts muscle is blocked or stopped inflicting death of heart muscle cells. Early detection of MI will facilitate to stop the infarct growth resulting in left ventricle (LV) transforming and additional damage to the cardiac muscles. Timely identification of MI and the extent of LV reworking are crucial to scale back the time taken for any tests, and save the value because of early treatment. Echocardiography images are widely used to assess the differential diagnosis of traditional and infarcted myocardium. The reading of ultrasound images is subjective because of interobserver variability and could result in inconclusive findings that may increase the anxiety for patients. Hence, a pc-aided diagnostic (CAD) technique that uses echocardiography pictures of the guts in addition to pattern recognition algorithms will accurately classify normal and infarcted myocardium images. During this review paper, we have discussed the numerous components that are used to develop a reliable CAD system.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : An Automated Machine Learning Approach for Smart Waste Management Systems ABSTRACT: This study shows how automated machine learning can be used to solve a real-world problem in a Smart Waste Management system.
PROJECT TITLE : Adaptive Pulse Wave Imaging Automated Spatial Vessel Wall Inhomogeneity Detection in Phantoms and in-Vivo ABSTRACT: Imaging the mechanical characteristics of the artery wall may aid in the diagnosis of vascular
PROJECT TITLE : Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images ABSTRACT: The quantification of layer information in early diagnosis of retinal disorders, the primary
PROJECT TITLE : Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound ABSTRACT: Automated breast ultrasound, often known as ABUS, is a novel and promising screening technique for the
PROJECT TITLE : Automated Method for Retinal Artery Vein Separation via Graph Search Metaheuristic Approach ABSTRACT: Identifying retinal biomarkers linked with systemic and neurodegenerative illnesses requires the separation

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry