Markov random field segmentation based sonographic identification of prenatal ventricular septal defect

S Nirmala, S Sridevi - Procedia Computer Science, 2016 - Elsevier
Abstract Ventricular Septal Defect (VSD), a hole in chamber wall that separates right
ventricle and left ventricle, is the most common congenital heart defect (CHD) among fetuses …

Fuzzy inference rule based image despeckling using adaptive maximum likelihood estimation

S Sridevi, S Nirmala - Journal of Intelligent & Fuzzy Systems, 2016 - content.iospress.com
Despite multitude of research ponders on despeckling ultrasound images, contriving an
efficient despeckling method still exist as an open challenge. The presence of speckle noise …

Computer-aided decision support system for symmetry-based prenatal congenital heart defects

S Sridevi, S Murugesan, V Sakthivel… - Advanced Machine Vision …, 2021 - Elsevier
In India, around 10% of infant mortality ensues especially due to congenital heart defects
(CHDs). Fetal heart asymmetry is the potential sonographic marker in clinical ultrasound …

Optimization Techniques and Their Applications in Prenatal Congenital Heart Defects: A Survey

D Kavitha, R Geetha - Artificial Intelligence for Multimedia …, 2024 - taylorfrancis.com
Congenital heart defects (CHDs) is an interesting area of study of diagnosis the disease
prenatally. There are 18 different CHDs, out of which few belong to the critical category. Our …

[引用][C] PSO based Optimization of Tuning Parameter for Quadrilateral Maximum Likelihood Estimation Despeckling