Diagnosis and Analysis of Glaucoma Using AI and ML for Medical Imaging
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Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging

Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging


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About the Book

Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging

Table of Contents:
1 Epidemiology of glaucoma and role of glaucoma screening in diagnosis 2 Anatomy and physiology of eye 3 Impact of current glaucoma medication of ocular surface 4 Applications of artificial intelligence techniques in healthcare and disease treatment 5 Monitoring glaucoma progression 6 Challenges of glaucoma diagnosis for developing countries 7 Integrating multiple machine learning and optimization techniques for superior disease prediction 8 Diagnosis and care of glaucoma patients in developing countries 9 Genetics, types, and risk factors associated with glaucoma 10 Glaucoma imaging techniques and its classification using artificial intelligence 11 The impact of artificial intelligence and machine learning in the diagnosis and management of glaucoma 12 Accuracy of glaucoma diagnosis by artificial intelligence and machine learning in screening and clinical practice 13 Necessity of making glaucoma diagnosis more accessible in developing countries 14 Future prospects necessity of making glaucoma diagnosis more accessible in developing countries

About the Author :
Mohammad Sufian Badar, PhD, is a Professor (temporary) in the Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi, India. Previously, he was Senior Teaching Faculty at UC Riverside, CA, United States, and an Analytics Architect at CenturyLink in Denver, CO, United States. He holds an MS in Molecular Science and Nanotechnology and a PhD in Engineering from Lusiana Tech University. Before that, he earned an MSc. in Bioinformatics from Jamia Millia Islamia, New Delhi. With over 18 years of teaching, research, and industry experience, Dr. Sufian has published in conferences and journals, authored chapters on AI, ML, Blockchain, IoT, Computational Biology, and has six books with Elsevier, Springer, and Bentham. His area of interest is in AI, ML, Computational Biology, and the integration of AI/ML with Health Sciences.


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Product Details
  • ISBN-13: 9780443449116
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 350
  • Width: 191 mm
  • ISBN-10: 0443449112
  • Publisher Date: 16 Jul 2026
  • Binding: Paperback
  • Language: English
  • Weight: 450 gr


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