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Precision Medicine: AI Applications in Brain Tumour Segmentation
Details
"Precision Medicine: AI Applications in Brain Tumour Segmentation" delves into the cutting-edge realm where artificial intelligence intersects with medical imaging to revolutionize brain tumour diagnosis and treatment planning. This comprehensive guide explores the latest advancements in AI-driven segmentation techniques, offering insights into their application across various stages of precision medicine. From understanding the fundamentals to exploring real-world case studies, this book equips researchers, clinicians, and healthcare professionals with the knowledge and tools needed to leverage AI for improved patient outcomes in brain tumour management.
Autorentext
Dr. Amar Saraswat, Ph.D., is currently associated with K. R. Mangalam University, Gurugram and is an esteemed expert in the field of Computer Science, specializing in Artificial Intelligence, Machine Learning, and Deep Learning. With a wealth of knowledge and experience, Dr. Saraswat focuses his research on the transformative role of AI.
Klappentext
"Precision Medicine: AI Applications in Brain Tumour Segmentation" delves into the cutting-edge realm where artificial intelligence intersects with medical imaging to revolutionize brain tumour diagnosis and treatment planning. This comprehensive guide explores the latest advancements in AI-driven segmentation techniques, offering insights into their application across various stages of precision medicine. From understanding the fundamentals to exploring real-world case studies, this book equips researchers, clinicians, and healthcare professionals with the knowledge and tools needed to leverage AI for improved patient outcomes in brain tumour management.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 64
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 113g
- Untertitel DE
- Autor Amar Saraswat
- Titel Precision Medicine: AI Applications in Brain Tumour Segmentation
- Veröffentlichung 26.03.2024
- ISBN 6207476069
- Format Kartonierter Einband
- EAN 9786207476060
- Jahr 2024
- Größe H220mm x B150mm x T4mm
- GTIN 09786207476060