Handbook of Machine Learning in Oncology: Foundations and Advanced Techniques

By Sanjay Saxena Ph.D.

Machine learning (ML) is transforming oncology by introducing innovative methodologies for early detection, diagnosis, treatment planning, and predicting patient outcomes. Handbook of Machine Learning in Oncology: Foundations and Advanced Techniques provides a detailed guide for applying ML-based methods to cancer research and treatment. The first half of this comprehensive guide covers the basics of cancer biology and ML, including key concepts, algorithms, and data processing techniques. It presents the methodology for supervised and unsupervised learning, Deep Learning, radiomics, radiogenomics, and natural language processing, highlighting their importance in oncology. The second half of the book focuses on practical applications, offering detailed case studies on various cancers such as breast, lung, prostate, colorectal, brain, and pancreatic. This applied handbook discusses predictive modeling, diagnostic applications, treatment planning, and emerging technologies. The book offers a thorough and insightful exploration of how Machine Learning and Deep Learning are revolutionizing oncology, providing readers with the knowledge and tools to contribute to this rapidly evolving field.

• Format: Paperback
• Language: English
• ISBN: 0443445745
• ISBN13: 9780443445743
• Release Date: June 2027
• Publisher: Academic Press
• Length: 400 Pages
• Weight: 0.99 lbs.