Machine Learning and Deep Learning Techniques for Medical Image Recognition
eBook - ePub

Machine Learning and Deep Learning Techniques for Medical Image Recognition

  1. 258 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Machine Learning and Deep Learning Techniques for Medical Image Recognition

About this book

Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples.

Features:

  • Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis
  • Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology
  • Covers common research problems in medical image analysis and their challenges
  • Focuses on aspects of deep learning and machine learning for combating COVID-19
  • Includes pertinent case studies

This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.

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 Machine Learning and Deep Learning Techniques for Medical Image Recognition by Ben Othman Soufiene, Chinmay Chakraborty, Ben Othman Soufiene,Chinmay Chakraborty in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Biomedical Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Editors
  9. Contributors
  10. Chapter 1 Medical Image Detection and Recognition Using Machine Learning and Deep Learning
  11. Chapter 2 Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks
  12. Chapter 3 Analysis of Machine Learning and Deep Learning in Health Informatics, and Their Application
  13. Chapter 4 Automated Acute Lymphoblastic Leukemia Detection Using Blood Smear Image Analysis
  14. Chapter 5 Smart Digital Healthcare Solutions Using Medical Imaging and Advanced AI Techniques
  15. Chapter 6 Efficient and Fast Lung Disease Predictor Model
  16. Chapter 7 Artificial Intelligence Used to Recognize Fetal Planes Based on Ultrasound Scans during Pregnancy
  17. Chapter 8 Artificial Intelligence Techniques for Cancer Detection from Medical Images
  18. Chapter 9 Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease
  19. Chapter 10 Computer Vision Approaches in Radiograph Image Analysis: A Targeted Review of Current Progress, Challenges, and Future Perspectives
  20. Chapter 11 Deep Learning Methods for Brain Tumor Segmentation
  21. Chapter 12 Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models
  22. Chapter 13 Diabetic Disease Prediction Using Machine Learning Models and Algorithms for Early Classification and Diagnosis Assessment
  23. Chapter 14 Defeating Alzheimer’s: AI Perspective from Diagnostics to Prognostics: Literature Summary
  24. Index