AI-based Cancer Detection using Wavelets

By Keith Noel

AI-based Cancer Detection using Wavelets is a book that explores the use of artificial intelligence (AI) in cancer detection and classification. The book specifically focuses on using deep and machine learning approaches, combined with higher order statistics of wavelets spectra, to accurately detect and classify different types of cancer.

The author, Keith Noel has a background in computer science and engineering, and has extensive experience in the field of medical image analysis. In this book, he delves into the world of AI and machine learning to provide a comprehensive overview of how these technologies can be applied in the field of cancer diagnosis.

The book covers a range of topics, including the basics of AI and machine learning, the use of wavelets in signal processing, and the application of these techniques in medical image analysis. It also discusses the challenges of using AI in cancer diagnosis, including the need for large and high-quality datasets, and the potential biases that can arise from using AI algorithms.

Overall, AI-based Cancer Detection using Wavelets is a valuable resource for researchers and practitioners in the fields of AI, machine learning, and medical imaging. It provides a thorough and accessible introduction to these complex topics, and offers insights into how these technologies can be used to improve the accuracy and efficiency of cancer diagnosis.

• Format: Paperback
• Language: English
• ISBN: B0CN4WGV8B
• ISBN13: 9798868983559
• Release Date: November 2023
• Publisher: Self Publisher
• Length: 170 Pages
• Weight: 0.52 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"