Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective — 1st Edition (2022)
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Description
Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective
📘 1st Edition · 2022
Examine machine-learning applications in cancer prediction and related health-data problems. This edited volume brings computational approaches together with case studies spanning medical images, connected systems and predictive modelling.
📚 Inside this eBook
- Internet of Medical Things approaches to cancer prediction
- Convolutional neural networks for histopathology images
- Machine learning for breast and cervical cancer classification
- Prediction, prognosis and data-mining case studies
- Computational perspectives on cancer diagnosis and healthcare data
🔎 Why add it to your reading list?
Its chapter-based examples help readers compare the tasks and data types involved in medical machine learning. The book is useful for developing a research background and identifying questions for further study in computational oncology.
👩⚕️ Who is it for?
Medical AI researchers, data scientists, biomedical engineers and postgraduate students.
📖 Book details
- Authors / editors: Meenu Gupta, Rachna Jain, Arun Solanki and Fadi Al-Turjman, editors
- Edition / volume: 1st Edition
- Year of supplied edition: 2022
- Publisher: CRC Press
- ISBN: 9781003185604
- Format: English-language PDF eBook
A research textbook; no software licence, datasets or deployed diagnostic service is included.
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