ADVANCED DEEP LEARNING TECHNIQUES FOR ROBUST DETECTION AND CLASSIFICATION OF CORONARY ARTERY PLAQUE AND STENOSIS IN X-RAY ANGIOGRAPHY IMAGES
We are proud to share that Ms. Jayasree, Assistant Professor in the Department of Electronics & Communication Engineering at Anurag University, has successfully completed her Ph.D. in Signal Processing from KL University.
Her doctoral research is titled “Advanced Deep Learning Techniques for Robust Detection and Classification of Coronary Artery Plaque and Stenosis in X-Ray Angiography Images.” The study focuses on applying advanced deep learning methodologies to improve the accuracy and reliability of cardiovascular disease detection using medical imaging techniques.
Her work contributes significantly to the field of biomedical signal processing by enhancing automated diagnostic systems for early detection of coronary artery diseases, thereby supporting improved healthcare outcomes through artificial intelligence-based solutions.
Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.
Written By
By AU Media Team
More Stories You Might Like
Mechanical Faculty Awarded Ph.D. from NIT Andhra Pradesh (2)
We are delighted to share that Mr. Rajkumar Reddy, Assistant Professor in the Department of Mechanical Engineering at Anurag University, has been awarded his Doctor of Philosophy (Ph.D.) from National Institute of Technology Andhra Pradesh. Thesis Title: “Characterization, Machinability Optimization and Machine Learning-Driven Analysis of Al-Cu-SiC-GNP Hybrid Composites Fabricated via Stir Casting and Wire-Arc Additive Manufacturing.” Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.
