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Glaucoma Diagnosis in the Vision of Biomedical Image Analysis

Glaucoma Diagnosis in the Vision of Biomedical Image Analysis

          
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About the Book

The experiments of this book are developed using MATLAB 213, for creating Glaucoma multi-diagnosis system. Here we have used 1866 retinal fundus images from different dataset, these are freely online downloaded such as DRIONS-DB, HRF, DRISHTI, RIM- ONE and MESSIDORE. We have extracted features like optic cup, optic disc, retinal blood vessels and neuro retinal rim for calculating three different statistical measures CDR (cup to disc ratio), RDR(Rim to disc ratio) and IOP(Intra ocular pressure). For that multi diagnosis system we have performed total seven experiments, for getting desired results. We have got a higher result of 96% from all the experiments.

Contents of this book can be used as one semester course. It is having background, Methodology, MATLAB code and outputs with self explanatory documents which are directly useful for the beginners.

About the Author

Dr. Dnyaneshwari D. Patil: has completed M. Sc. Computer Science in (2009), M.Phil. Computer Science in (2015) Ph. D. (2017) in Computer Science and presently working as Research Student in Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Her area of specialization is Bio-Medical Image Processing and Glaucoma. She has author of one book. She has published around 11 papers in reputed Journals and Conferences.

Dr. Ramesh R. Manza: Has completed M.Sc. Computer Science (1996), NET and SET (2002), Ph. D. in Computer Science (2006) and presently working as Associate Professor in Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India. His area of specialization includes Bio-Medical Image Processing, Computer Vision, Nano-robotics, MEMS and Biometric. He has published around 245 papers at national and international platforms. He is leading two major research projects, awarded by UGC and DST on Diabetic Retinopathy. He is author of 10 books. Total 25 students have been awarded M. Phil, 06 students awarded Ph. D. and 09 students are leading their Doctoral program under his guidance. He is recipient of Shikshak Pratibha, Vidhyaratna and Merit rank Third Award.

Dr. Pravin L. Yannawar: Has completed M.Sc. Computer Science (2001), SET (2006), Ph. D. in Computer Science (2011) and presently working as Assistant Professor in Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India. His area of specialization includes Audio Visual Speech Recognition, Image Processing and Video Processing. He has published around 40 papers at national and international platforms. He is leading one major research project, awarded by DST FAST TRACK YOUNG SCIENTIST on Video Processing. He is author of 2 books. Total 9 students have been awarded M. Phil and 8 students are leading their Doctoral program under his guidance. He is recipient of Vidyabhushan Award.

Dr. Yogesh M. Rajput: has completed M. Sc. Computer Science (2012), M.Phil. Computer Science (2014) and Ph. D. Computer Science (2017) and currently working as assistant professor in College of Computer Science and Information Technology (COCSIT), Latur. His area of specialization is Bio-Medical Image Processing and Diabetic Retinopathy. He is author of 5 books. He has published around 27 papers in reputed Journals and Conferences.


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Product Details
  • ISBN-13: 9789352135196
  • Publisher: Shroff Publishers
  • Binding: Paperback
  • Language: English
  • Weight: 0 gr
  • ISBN-10: 9352135199
  • Publisher Date: 2017
  • Height: 11 mm
  • No of Pages: 240
  • Width: 229 mm

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