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Computer-Aided Diagnosis of Glaucoma Using Morphological Filters and Machine Learning - Bhateja, Vikrant; Johri, Archita; Pal, Deepika; Pal, Babita
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Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning provides a focused research-based case-study of CAD of glaucoma using advanced image processing and machine learning algorithms. The book discusses relevant, state-of-the-art solutions and existing challenges, along with the steps needed to develop a CAD methodology as a projected solution. Different cases of vision disorders specific to Glaucoma are presented with results evaluated by various image quality assessment metrics and opinions from medical practitioners.

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Produktbeschreibung
Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning provides a focused research-based case-study of CAD of glaucoma using advanced image processing and machine learning algorithms. The book discusses relevant, state-of-the-art solutions and existing challenges, along with the steps needed to develop a CAD methodology as a projected solution. Different cases of vision disorders specific to Glaucoma are presented with results evaluated by various image quality assessment metrics and opinions from medical practitioners.
Autorenporträt
Dr. Vikrant Bhateja is an Associate Professor in the Department of Electronics and Communication Engineering at Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow (U.P.), India. He has been Head (Academics & Quality Control) of the college from 2010-2019 and has been Dean of the college since 2020. He has a doctorate in ECE (Bio-Medical Imaging & Signal Processing) with a total academic teaching experience of 17 years with around 160 publications in reputed international conferences, journals and online book chapter contributions out of which 22 papers are published in SCIE indexed journals (Summing up to total JCR Impact Factor: 70). His areas of research include: Digital Image & Video Processing, Computer Vision, Medical Imaging, Bio-Medical Signal Processing and Machine Learning. He has been chairing/co-chairing around 25 international conferences as publication or TPC Chair. He has edited 30 book volumes from Springer-Nature as a corresponding/co-editor/author. He is a senior member of IEEE, life member of CSI and has served in Exe-Com of IEEE U.P. Section. He has also chaired IEEE Young Professional Affinity Group for year-2016-17. He is presently Editor-In-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR): an ACM and DBLP Indexed Journal since 2017. He has guest edited three Special Issues in reputed Scopus/SCIE indexed journals.