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- Author: Smaranda Belciug
- Publisher: Academic Press
- ISBN-10: 0128202017
- ISBN-13: 9780128202012
- Format: 19.1 x 23.5 x 1.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Smaranda Belciug
- Publisher: Academic Press
- ISBN-10: 0128202017
- ISBN-13: 9780128202012
- Format: 19.1 x 23.5 x 1.7 cm, minkšti viršeliai
- Language: English English
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.
Reviews