CAD of Glaucoma requires enhancement of retinal fundus images wherein numerous challenges are incurred by medical practitioners during analysis of these images. This further constrains the optic-cup/discs segmentation and subsequent feature extraction for classification.
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. This book discusses the relevant state-of-art, existing challenges, and the steps taken to develop a CAD methodology as a projected solution. Different cases of vision disorders specific to Glaucoma are presented and the results are evaluated by various image quality assessment metrics along with opinions from medical practitioners.
- Highlights advancements in morphological filtering for contrast and edge enhancement of retinal images followed by optic cup/disc segmentation
- Features simulation results on more than 30 cases of Glaucoma with varying abnormalities and severities
- Provides remedial solutions of machine learning and a range of novel solutions in the domain of biomedical imaging for CAD of Glaucoma
1. Introduction2. Cad of glaucoma
3. Evolution in cad of glaucoma4. State of art techniques for cad of glaucoma5. Design methodology for cad of glaucoma6. Enhancement of retinal fundus images using morphological filters7. Segmentation and localization of enhanced retinal images8. Results and discussions: Enhancement and segmentation of retinal images9. Feature extraction and classification for automated glaucoma diagnosis10. Results and discussions: Feature extraction and classification11. Conclusions and future research
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. Archita Johri is currently working as software engineer for SAP security department in Hindustan Computers Limited (HCL), Lucknow. She has graduated in Electronics and Communication Engineering from Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow (U.P.), India. Her research interests are Biomedical Imaging and Machine Learning. Other technical skill set include: Python and IoT. Deepika Pal graduated in Electronics and Communication Engineering from SRMGPC, Lucknow, Uttar Pradesh, India. Image processing, computer vision and soft-computing are among her major areas of research. Other allied skills include: AVR, Python and IoT. Currently she is working in Wipro HR Services as a System Configuration Specialist in Gurugram (Haryana), India. In this profile she assists in development, implementation and review of Configuration Management (CM)procedures. She Reviews and recommends improvements to existing CM procedures. Babita Pal graduated with Honours in Electronics and Communication Engineering from Sri Ramswaroop Memorial Group of Professional Colleges, Lucknow, India. Her area of research include: Biomedical Signal and Image Processing, Machine Learning. Her major project in UG Dissertation has bagged the 'Best Project Award'. She has been project intern at C.C.S.I. Airport, Lucknow in Communication, Navigation and Surveillance. Other technical skills include: Python, IOT using IBM bluemix. Currently Babita is working in Tata consultancy services (TCS), Gurgaon, India as an Assistant System Engineer.
