MACHINE AND DEEP LEARNING ALGORITHMS, APPLICATIONS CANCER DETECTION

Vishnu Kumar Mishra

ISBN 10: 6207487907 / ISBN 13: 9786207487905

Editore: LAP LAMBERT Academic Publishing Apr 2024, 2024

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Neuware -A book that covers different machine learning and deep learning algorithms specifically for lung cancer would be an excellent resource for researchers, medical professionals, and data scientists interested in leveraging artificial intelligence for medical diagnosis and treatment. While I can't provide a specific book title, I can suggest the key topics and areas such a book might cover: Introduction to Lung Cancer: The book may start with an overview of lung cancer, including its types, causes, diagnosis methods, and current treatment options. Machine Learning Fundamentals: It may cover fundamental concepts of machine learning, including supervised, unsupervised, and semi-supervised learning, as well as evaluation metrics commonly used in medical applications.Data Preprocessing and Feature Engineering: The book may discuss techniques for preprocessing medical imaging data, such as CT scans or X-rays, including image normalization, noise reduction, and feature extraction.Classification Algorithms: It would likely delve into various classification algorithms used for lung cancer detection and diagnosis, such as support vector machines (SVM), random forests, decision trees.Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch.

Codice articolo 9786207487905

Dati bibliografici

• Titolo: MACHINE AND DEEP LEARNING ALGORITHMS, APPLICATIONS CANCER DETECTION
• Editore: LAP LAMBERT Academic Publishing Apr 2024
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 6207487907
• ISBN 13: 9786207487905
• Rilegatura: Taschenbuch
• Condizione: Neu

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Riassunto

A book that covers different machine learning and deep learning algorithms specifically for lung cancer would be an excellent resource for researchers, medical professionals, and data scientists interested in leveraging artificial intelligence for medical diagnosis and treatment. While I can't provide a specific book title, I can suggest the key topics and areas such a book might cover: Introduction to Lung Cancer: The book may start with an overview of lung cancer, including its types, causes, diagnosis methods, and current treatment options. Machine Learning Fundamentals: It may cover fundamental concepts of machine learning, including supervised, unsupervised, and semi-supervised learning, as well as evaluation metrics commonly used in medical applications.Data Preprocessing and Feature Engineering: The book may discuss techniques for preprocessing medical imaging data, such as CT scans or X-rays, including image normalization, noise reduction, and feature extraction.Classification Algorithms: It would likely delve into various classification algorithms used for lung cancer detection and diagnosis, such as support vector machines (SVM), random forests, decision trees.