Applied Intelligence for Medical Image Analysis
eBook - ePub

Applied Intelligence for Medical Image Analysis

  1. 272 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Intelligence for Medical Image Analysis

About this book

Over the last decades, there has been a revolution in the use of new intelligent technologies to analyze and interpret medical images for diseases diagnosis, assessment ad treatment. This new volume explores the latest cutting-edge research in medical image analysis. The advanced intelligent technologies discussed include machine learning, ensemble methods in machine learning, deep learning methods and firebase technology, infrared thermography, deep convolution neural networks, and more. Some of the specific uses of these technologies include for brain tumor MRIs, for breast cancer screening, for polycystic ovary syndrome classification, for detecting and monitoring Alzheimer's disease, for monitoring of newborns, for retinal disease diagnosis, for Covid-19 detection, and more.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Applied Intelligence for Medical Image Analysis by Aarti,Raju Pal,Mukesh Saraswat,Himanshu Mittal in PDF and/or ePUB format, as well as other popular books in Computer Science & Biomedical Science. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apple Academic Press
Year
2024
Print ISBN
9781774914762
eBook ISBN
9781003801542
Edition
1
Topic
Computer Science
Subtopic
Biomedical Science
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Abbreviations
  9. Preface
  10. Acknowledgment
  11. Introduction
  12. Chapter 1 A Comparative Study of Anisotropic Diffusion Filters for Medical Image Denoising
  13. Chapter 2 Salt-and-Pepper Noise Removal Techniques for Medical Image Reconstruction
  14. Chapter 3 Comparative Analysis of PSO and WOA-Based Segmentation of Brain Tumor MRIs
  15. Chapter 4 Breast Cancer Screening Using Fractal Dimension of Chromatin in Interphase Nuclei of Buccal Epithelium
  16. Chapter 5 olycystic Ovary Syndrome Classification Based on Machine Learning Techniques: A Comparative Analysis
  17. Chapter 6 A Comprehensive Review on Diagnosis of Alzheimer's Disease Using Ensemble Methods and Machine Learning
  18. Chapter 7 A New Strategy for the Prediction of Diabetic Retinopathy Using Deep Learning Methods and Firebase Technology
  19. Chapter 8 Contactless Monitoring in Newborns Using Infrared Thermography: A Review
  20. Chapter 9 Retinal Disease Diagnosis Using Machine Learning Techniques
  21. Chapter 10 Automated Segregation of Lymphoid and Myeloid Blasts in Acute Leukemia Cases Using a Deep Convolutional Neural Network
  22. Chapter 11 Evaluation of Deep Learning Network Architectures for Medicine Expenditure Prediction in the Healthcare Domain
  23. Chapter 12 COVID-19 Detection from Chest X-Ray Using a Customized Artificial Neural Network
  24. Chapter 13 An Automated Deep Learning Approach to Classify ECG Signals Using AlexNet
  25. Chapter 14 MLO and CC View of Feature Fusion and Mammogram Classification Using a Deep Convolution Neural Network
  26. Index