Home|Journals|Articles by Year Follow on Twitter

Directory for Medical Articles

Open Access

Research Article

. 2021; 12(4): 658-664

Mitral stenosis detection using Deep Learning technique in PSAX view TTE

Vishal Chandra, PrattayGuha Sarkar, Vinay Singh.

The goal of this research is to identify abnormality automatically in the mitral valve,stenosis, or
normal in parasternal short-axis view (PSAX).one of the common and widely spread valvular diseases is mitral
valve disease. It is still a burden in underdeveloped countries, for health sociality as well as countries. Mitral
valve approximately 80 percent of valvular diseases. According tothe World Heart Foundation Guidelines,
based on mitral leaflets morphology. The mitral valve areacan calculate using the PSAX view. In mitral stenosis
mitral valve has a specific shape, which is similar to a fish mouth. Our main goal is to detect this abnormality so
that sonographers investigate further better.Our evaluation metrics have concern f1 score for normal is 99%, and
mitral stenosis is 99%, and accuracy is 99 percent. The dataset we for training is 900 and testing 600 for testing
purposes: confusion matrix, ROC curve, PR curve measured for our evaluation result. We created the
MobileNet inspired model to solve the classification of normal or mitral stenosis valve.Our proposed model
only detectsan abnormality in the mitral valve in the PSAX view. It reduces the time of Echocardiography.We
aim to use a minimum number of parameters to solve this problem to make real-time analysis possible

Key words: CNN, deep learning, Echocardiography, mitral stenosis, PSAX, MobileNet

Similar Articles

Advancing Our Understanding of Brain Disorders: Research Using Postmortem Brain Tissue.
Curtis MA, Vedam-Mai V
Methods in molecular biology (Clifton, N.J.). 2022; 2389(): 201-208

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Hu R, Gan J, Zhu X, Liu T, Shi X
Information processing & management. 2022; 59(1): 102782

Microglia regulation of synaptic plasticity and learning and memory.
Cornell J, Salinas S, Huang HY, Zhou M
Neural regeneration research. 2022; 17(4): 705-716

Semi-automated Tools for Systematic Searches.
Adam GP, Wallace BC, Trikalinos TA
Methods in molecular biology (Clifton, N.J.). 2022; 2345(): 17-40

COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning.
Gaur P, Malaviya V, Gupta A, Bhatia G, Pachori RB, Sharma D
Biomedical signal processing and control. 2022; 71(): 103076

Full-text options

Latest Statistics about COVID-19
• pubstat.org

Add your Article(s) to Indexes
• citeindex.org

Covid-19 Trends and Statistics
Follow ScopeMed on Twitter
Author Tools
eJPort Journal Hosting
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.

ScopeMed Web Sites