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AI Innovation in Medical Imaging Diagnostics (Advances in Medical Technologies and Clinical Practice) by Kalaivani Anbarasan; IGI Global is a nonfiction available to read on EtoBox.
What is AI Innovation in Medical Imaging Diagnostics (Advances in Medical Technologies and Clinical Practice) about?
AI Innovation in Medical Imaging Diagnostics 2 Table of Contents 6 Detailed Table of Contents 9 Preface 16 1 Detection of Ocular Pathologies From Iris Images Using Blind De-Convolution and Fuzzy C-Means Clustering: Detection of Ocular Pathologies 18 2 Machine Learning in Healthcare 54 3 Detection of Tumor From Brain MRI Images Using Supervised and Unsupervised Methods 78 4 Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder 93 5 Feature Selection Using Random Forest Algorithm to Diagnose Tuberculosis From Lung CT Images 109 6 An Ensemble Feature Subset Selection for Women Breast Cancer Classification 118 7 A Content-Based Approach to Medical Image Retrieval 131 8 Correlation and Analysis of Overlapping Leukocytes in Blood Cell Images Using Intracellular Markers and Colocalization Operation 154 9 Enchodroma Tumor Detection From MRI Images Using SVM Classifier 172 10 An Approach to Cloud Computing for Medical Image Analysis 181 11 Segmentation of Spine Tumour Using K-Means and Active Contour and Feature Extraction Using GLCM 211 12 A Survey on Early Detection of Women’s Breast Cancer Using IoT 225 Compilation of References 237 About the
Who reads AI Innovation in Medical Imaging Diagnostics (Advances in Medical Technologies and Clinical Practice)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kalaivani Anbarasan; IGI Global
- Publisher
- IGI Global
- Published
- 2021
- Language
- EN
- ISBN
- 9781799830924
- Category
- nonfiction
- Subjects
- Medical, Computer Science, Artificial Intelligence (Ai)
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