This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The experimental investigations have been carried out on images starting from very basic image processing techniques such as image enhancement to sophisticated image segmentation methods. This book is intended to create an awareness on diabetes and its related causes and image processing methods used to detect and forecast in a very simple way. This book is useful to researchers, Engineers, Medical Doctors and Bioinformatics researchers.
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1 Introduction to Diabetes Related Causes and Overview of Image Processing Methods |
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1 | (4) |
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1.1 Diabetes and Related Causes |
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1.2 Overview of Image Processing Methods |
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3 | (1) |
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1.3 Need and Importance of the Problem |
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3 | (2) |
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4 | (1) |
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2 Importance of Image Processing |
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5 | (4) |
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6 | (1) |
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6 | (3) |
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3 Image Processing Methods Utilized |
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3.1 Image Enhancement Methods |
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9 | (2) |
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9 | (1) |
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3.1.2 Histogram Equalization (HE) |
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9 | (1) |
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3.1.3 Contrast Limited Adaptive Histogram Equalization (CLAHE) |
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10 | (1) |
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3.1.4 Intensity Adjustment |
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3.2 Image Segmentation Methods |
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11 | (1) |
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3.2.1 K-Means and Fuzzy Clustering |
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11 | (1) |
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12 | (5) |
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3.3.1 Watershed Segmentation |
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13 | (2) |
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3.3.2 Gradient Filter Technique |
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3.3.3 Super Pixel Generation |
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16 | (1) |
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16 | (1) |
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17 | (2) |
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3.4.1 Artificial Neural Network (ANN) |
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17 | (1) |
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3.4.2 Feed-Forward Classifier |
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18 | (1) |
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18 | (1) |
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4 Forecasting of Diabetic Cardiomyopathy |
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4.1 Detection of Atherosclerosis |
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21 | (4) |
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4.2 Edge Detection Methods |
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25 | (5) |
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4.2.1 Feature Extraction from Coronary Angiogram of a Diabetic Patient Using Segmentation Methods |
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27 | (3) |
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4.3 Observed Statistics at VOI'S |
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30 | (3) |
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5 Diabetic Retinopathy: Detection of Exudates and Glaucoma |
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33 | (18) |
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5.1 Detection of Exudative Maculopathy |
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33 | (2) |
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5.2 Detection of Maculopathy Using Artificial Neural Networks |
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35 | (1) |
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5.3 Results and Test Performance |
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35 | (1) |
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35 | (1) |
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5.5 Non-Clinically Significant Macular Edema (Non-CSME) |
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36 | (1) |
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5.6 Clinically Significant Macular Edema (CSME) |
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37 | (3) |
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5.6.1 Detection of Glaucoma |
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39 | (1) |
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40 | (11) |
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51 | (4) |
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6.1 Detection of Diabetic Myonecrosis |
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51 | (4) |
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53 | (2) |
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Dr. Amit Kumar is the CEO and Chief Scientific Officer of BioAxis DNA Research Centre (BDRC) Pvt Ltd. His research interests are in the field of Reverse Vaccinology, Forensic Bioinformatics, DNA Forensics, Rational drug discovery, Forensic Criminology and Police Administration etc. He also serves as the Chairman of IEEE Computational Intelligence Society, IEEE Hyderabad Section and the Treasurer for IEEE Hyderabad Section.
Mr. Fahimuddin Shaik is with Annamacharya Institute of Technology & Sciences (an Autonomous Institute), Rajampet, A.P., India working as an Assistant Professor in Dept. of ECE. He is BOS Member of the Department and also held a position as the Academic Council Member of the Institute. His research interests include Signal Processing, Time Series Analysis and Biomedical Image Processing. He chaired a Session at IEEE International Conference (ICMET-2010) held in Singapore on Sep11th 2010.He has authored a book called Medical Imaging in Diabetes in 2011.
