October 2024
Intermediate to advanced
560 pages
14h 37m
English
book
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
by Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
Content preview from Genomics at the Nexus of AI, Computer Vision, and Machine Learning
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2Syndrome Detection Unleashed: Computer Vision Applications in Neurogenetic Diagnoses
R. Srilakshmi1, Shilpa Choudhary2*, Rohit Raja3 and Ashish Kumar Luhach4
1Department of CSE (DS), CVR College of Engineering, Hyderabad, India
2Department of CSE (AIML), Neil Gogte Institute of Technology, Hyderabad, India
3Department of Information Technology School of Studies (Engineering and Technology) Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, India
4Department of Electrical Engineering, Papua New Guinea University of Technology, Lae, Morobe Province of Papua New Guinea
Abstract
Innovative solutions are needed to diagnose nervous system hereditary diseases and deformation. Computer vision analyzes these gene conditions, UBE3A, FGFR2, NIPBL, and SMC1A, regarding syndrome classifications. Neurologically developed delays, intellectual difficulties, speech impediment, and deformation affecting the development of the skull, face, hands, feet and motor coordination result in this genetic condition. Due to their intricacy, neuro developmental diseases require more sophisticated diagnostic tools than clinical evaluation and genetic testing. This research uses computer vision on imaging data to improve diagnosis precision and efficiency, promising early and accurate syndrome detection. This research aims to optimize diagnostic techniques, improve understanding of genetic abnormalities of the neurological system, and understand physical deformities for providing targeted therapeutic ...
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