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AI innovation in medical imaging diagnostics / Kalaivani Anbarasan, editor. — 1 online resource — <URL:http://elib.fa.ru/ebsco/2738487.pdf>.

Record create date: 10/24/2019

Subject: Artificial Intelligence.; Diagnostic Imaging — methods.; Deep Learning.; Machine Learning.; Artificial intelligence.; Diagnostic imaging.

Collections: EBSCO

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"This book examines the application of artificial intelligence in medical imaging diagnostics"--.

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Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Chapter 1: Detection of Ocular Pathologies From Iris Images Using Blind De-Convolution and Fuzzy C-Means Clustering
  • Chapter 2: Machine Learning in Healthcare
  • Chapter 3: Detection of Tumor From Brain MRI Images Using Supervised and Unsupervised Methods
  • Chapter 4: Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
  • Chapter 5: Feature Selection Using Random Forest Algorithm to Diagnose Tuberculosis From Lung CT Images
  • Chapter 6: An Ensemble Feature Subset Selection for Women Breast Cancer Classification
  • Chapter 7: A Content-Based Approach to Medical Image Retrieval
  • Chapter 8: Correlation and Analysis of Overlapping Leukocytes in Blood Cell Images Using Intracellular Markers and Colocalization Operation
  • Chapter 9: Enchodroma Tumor Detection From MRI Images Using SVM Classifier
  • Chapter 10: An Approach to Cloud Computing for Medical Image Analysis
  • Chapter 11: Segmentation of Spine Tumour Using K-Means and Active Contour and Feature Extraction Using GLCM
  • Chapter 12: A Survey on Early Detection of Women's Breast Cancer Using IoT
  • Compilation of References
  • About the Contributors
  • Index

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