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Artificial Intelligence in Cancer. Diagnostic to Tailored Treatment

  • Book
  • June 2020
  • Elsevier Science and Technology
  • ID: 5007983

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis.

The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

1. Life challenge. Cancer
2. The beginnings
3. Pathologist at work
4. Surgeon at work
5. Oncologist at work
6. Radiotherapist at work
7. Survival analysis
8. Remission and recurrence. What to do next?
9. Artificial intelligence in Oncology: Dreams may come true someday


Smaranda Belciug Associate Professor, Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Craiova, Romania. Smaranda Belciug, PhD received her B.S. and MSc degrees in Computer Science from the University of Craiova, Romania, in 2006, and 2008, respectively and MSc degree in Computer Science from the University of Paris 12, France in 2007. She received her Ph.D. degree in Computer Science from the University of Pitesti, Romania in 2010. She is now Associate Professor with the Department of Computer Science, Faculty of Sciences, University of Craiova, Romania. Her research includes Artificial Intelligence, Machine Learning, Data Mining and Statistics focusing on cancer research. She authored 5 books, 3 book chapters and more than 25 scientific papers published in prestigious international journals. She won a special mention at the Young Researchers in Science and Technology contest, from Prof. Rada Mihalcea, University of Michigan.