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Deep Learning for Healthcare Services Volume 2 Cover

Deep Learning for Healthcare Services Volume 2

Volume in the series
IoT and Big Data Analytics
Publisher:Bentham Science
By: Parma Nand,  Jyotir Moy Chatterjee,  Vishal Jain,  Ramani Kannan,  Dac-Nhuong Le and  Abhishek S Verma  
Paid access
|Jul 2023
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This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients. It presents 5 concise chapters showing how these technologies can empower the conventional doctor patient relationship in a more dynamic, transparent, and personalized manner. The key topics covered in this book include:

- The Role of Deep Learning in Healthcare Industry: Limitations

- Generative Adversarial Networks for Deep Learning in Healthcare

- The Role of Blockchain in the Healthcare Sector

- Brain Tumor Detection Based on Different Deep Neural Networks

Key features include a thorough, research-based overview of technologies that can assist deep learning models in the healthcare sector, including architecture and industrial scope. The book also presents a robust image processing model for brain tumor screening.

Through this book, the editors have attempted to combine numerous compelling views, guidelines and frameworks. Healthcare industry professionals will understand how Deep Learning can improve health care service delivery.
PDF ISBN: 978-981-5080-23-0
Publisher: Bentham Science
Copyright owner: © 2023 Bentham Science Publishers
Publication date: 2023
Language: English
Pages: 130
Related subjects:
Computer sciences,
Artificial intelligence

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