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Machine Learning in Medicine

Machine Learning in Medicine (Hardcover, 1)

Jasjit S. Suri, Ayman El-baz (엮은이)
Chapman and Hall/CRC
398,060원

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Machine Learning in Medicine
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· 제목 : Machine Learning in Medicine (Hardcover, 1) 
· 분류 : 외국도서 > 의학 > 일반
· ISBN : 9781138106901
· 쪽수 : 312쪽
· 출판일 : 2021-08-04

목차

Dedication Preface Acknowledgements Editor Biographies List of Contributors ? Chapter 1: Another Set of Eyes in Anesthesiology Pushkar Aggarwal ? Chapter 2: Dermatological Machine Learning Clinical Decision Support System Pushkar Aggarwal ? Chapter 3: Vision and AI????????? Pushkar Aggarwal ? Chapter 4: Thermal dose modelling for thermal ablative cancer treatments by cellular neural networks Jinao Zhang, Wa Cheung, Stuart K. Roberts, and Sunita Chauhan. ? ? Chapter 5: Ensembles of Convolutional Neural Networks with Different Activation Functions for Small to Medium Size Biomedical Datasets???? Filippo Berno, Loris Nanni, Gianluca Maguolo, Sheryl Brahnam ? Chapter 6: Analysis of Structural MRI Data for Epilepsy Diagnosis Using Machine Learning Techniques Seyedmohammad Shams, Esmaeil Davoodi-Bojd, and Hamid Soltanian-Zadeh. ? Chapter 7: Artificial Intelligence (AI) Powered Ultrasound for Diagnosis and Improving Clinical Workflow???????? Zeynettin Akkus ? Chapter 8: Machine Learning for M/EEG-based Identification of Alzheimer's Disease???????????? ? ? Su Yang, Jose Sanchez-Bornot, KongFatt Wong-Lin, Girijesh Prasad ? Chapter 9: Some Practical Challenges with Possible Solutions for Machine Learning in Medical Imaging? Naimul Khan, Nabila Abraham, Anika Tabassum, and Marcia Hon ? Chapter 10: Detecting of Abnormal Activities stemming from Cognitive Decline using Deep Learning Damla Arifoglu, Abdelhamid Bouchachia ? Chapter 11: Classification of Left Ventricular Hypertrophy and NAFLD Through Decision Tree Algorithm.???????? Arnulfo Gonzalez-Cantu, Maria Elena Romero-Ibarguengoitia, Baidya Nath Saha ? Chapter 12: The Cutting Edge of Surgical Practice: Applications of Machine Learning to Neurosurgery Omar Khan, Jetan H. Badhiwala, Muhammad Ali Akbar, Michael G. Fehlings ? Chapter 13: A Novel MRA-Based Framework for the Detection of Cerebrovascular Changes and Correlation to Blood Pressure?????????? Ingy El-Torgoman, Ali Mahmoud, Ahmed Shalaby, Mohammed Ghazal, Guruprasad Giridharan and Ayman El-Baz, Jasjit S. Suri ? Chapter 14: Early Classification of Renal Rejection Types: A Deep Learning Approach Mohamed Shehata, Fahmi Khalifa, Ahmed Soliman, Mohamed Abou El-Ghar, Shams Shaker, Ahmed Shalaby, Maryam El-Baz, Ali Mahmoud, Mohammed Ghazal, Amy C. Dwyer, Ayman El-Baz, Jasjit S. Suri Index

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