Dinesh Mavaluru, Sahithya Ravali Ravula, Jerlin Priya Lovelin Auguskani, Santhi Muttipoll Dharmarajlu, Amutha Chellathurai, Jayabrabu Ramakrishnan, Bharath Kumar Mamilla Mugaiahgari, Nadana Ravishankar
This research work explores the integration of medical and information technology, particularly focusing on the use of data analytics and deep learning techniques in medical image processing. Specifically, it addresses the diagnosis and prediction of fetal conditions, including Down Syndrome (DS), through the analysis of ultrasound images. Despite existing methods in image segmentation, feature extraction, and classification, there is a pressing need to enhance diagnostic accuracy. Our research delves into a comprehensive literature review and presents advanced methodologies, incorporating sophisticated deep learning architectures and data augmentation techniques to improve fetal diagnosis...
April 2024: Medical Engineering & Physics