Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging - Couverture souple

Couverture souple

ISBN 10 : 0443449112 ISBN 13 : 9780443449116

Editeur : Academic Press, 2026

Synopsis

Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging is a targeted resource aimed at increasing understanding of this often asymptomatic, progressive eye disease, particularly in developing countries. It highlights the importance of early detection and discusses current treatment options to slow disease progression, emphasizing the role of AI and ML in improving diagnosis and management. The book explores the causes, symptoms, diagnostic challenges, and treatment strategies for glaucoma, integrating insights on how artificial intelligence and machine learning models can enhance healthcare delivery. It includes practical case studies and discusses how accessible AI tools can be utilized by healthcare workers, NGOs, students, and researchers to address diagnostic barriers prevalent in resource-limited settings. This publication benefits a broad audience, including healthcare professionals, students, and policymakers, by providing curriculum-aligned content that is straightforward and easy to understand. Its emphasis on practical applications and awareness-building makes it a valuable tool for advancing glaucoma care and fostering interdisciplinary collaboration in eye health.

A propos du livre

À propos de l'auteur

Dr. M.S Badar, MS, PhD served as a Teaching Faculty in the Department of Bioengineering at the University of California, Riverside, CA, USA. He graduated with an MS degree in Molecular Science and Nanotechnology and Ph.D. in Engineering from Louisiana Tech University Ruston, LA, USA, respectively. Dr. Badar has over 14 years of teaching, research, and industry experience. He has authored a chapter in a book about Machine Learning and Molecular Modeling. He has developed an algorithm for Face Detection, Recognition, and Emotion Recognition. He has developed a device that, by using a Biosensor, can correlate the physiology of the human body with the emotion recognition algorithm, giving us an accurate measurement of stress hormones in the body. His group is developing an ML Model which predicts Covid infection based on the severity of symptoms (mild, moderate, and severe) and if they have had contact with a Covid patient.

Détails de l'édition

• Éditeur: Academic Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 0443449112
• ISBN 13: 9780443449116
• Reliure: Broché
• Nombre de pages: 350
• Éditeur: Badar
• Coordonnées du fabricant: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; Etats-Unis
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