Synopsis
This book is mainly for the students of machine learning. This book also addresses the needs of the researchers who work in the knowledge field of bio-medical imaging and computer assisted oncology. This book demonstrates a holistic approach of malignant tumor classification via machine learning. It enumerates different stages of image analysis and image segmentation with the help of MATLAB code. WEKA data mining software has been used to describe both supervised and unsupervised learning methods. Each and every phase of tumor classification: feature extraction, data pre-processing, attribute selection, classification and model evaluation has been properly explained with the help of screenshots. It has also been depicted that, how the users may use python to execute such classification tasks.I hope this book will help the students, researchers as well as teachers working on machine learning as a ready reference.
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Classification of Malignant Tumors: A Practical Approach
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LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 6139475007
ISBN 13: 9786139475001
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is mainly for the students of machine learning. This book also addresses the needs of the researchers who work in the knowledge field of bio-medical imaging and computer assisted oncology. This book demonstrates a holistic approach of malignant tumor classification via machine learning. It enumerates different stages of image analysis and image segmentation with the help of MATLAB code. WEKA data mining software has been used to describe both supervised and unsupervised learning methods. Each and every phase of tumor classification: feature extraction, data pre-processing, attribute selection, classification and model evaluation has been properly explained with the help of screenshots. It has also been depicted that, how the users may use python to execute such classification tasks.I hope this book will help the students, researchers as well as teachers working on machine learning as a ready reference. 56 pp. Englisch. Seller Inventory # 9786139475001
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Classification of Malignant Tumors: A Practical Approach
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ISBN 10: 6139475007
ISBN 13: 9786139475001
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Classification of Malignant Tumors: A Practical Approach
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Classification of Malignant Tumors: A Practical Approach
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Classification of Malignant Tumors: A Practical Approach
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Classification of Malignant Tumors: A Practical Approach
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moitra DipanjanMr. Dipanjan Moitra is an IT faculty in the Department of Management, University of North Bengal, India. He completed his MCA from IGNOU in 2005. He has authored several research papers on machine learning and also aut. Seller Inventory # 293476494
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Classification of Malignant Tumors: A Practical Approach
Published by
LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 6139475007
ISBN 13: 9786139475001
New
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is mainly for the students of machine learning. This book also addresses the needs of the researchers who work in the knowledge field of bio-medical imaging and computer assisted oncology. This book demonstrates a holistic approach of malignant tumor classification via machine learning. It enumerates different stages of image analysis and image segmentation with the help of MATLAB code. WEKA data mining software has been used to describe both supervised and unsupervised learning methods. Each and every phase of tumor classification: feature extraction, data pre-processing, attribute selection, classification and model evaluation has been properly explained with the help of screenshots. It has also been depicted that, how the users may use python to execute such classification tasks.I hope this book will help the students, researchers as well as teachers working on machine learning as a ready reference.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786139475001
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Classification of Malignant Tumors: A Practical Approach
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139475007
ISBN 13: 9786139475001
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is mainly for the students of machine learning. This book also addresses the needs of the researchers who work in the knowledge field of bio-medical imaging and computer assisted oncology. This book demonstrates a holistic approach of malignant tumor classification via machine learning. It enumerates different stages of image analysis and image segmentation with the help of MATLAB code. WEKA data mining software has been used to describe both supervised and unsupervised learning methods. Each and every phase of tumor classification: feature extraction, data pre-processing, attribute selection, classification and model evaluation has been properly explained with the help of screenshots. It has also been depicted that, how the users may use python to execute such classification tasks.I hope this book will help the students, researchers as well as teachers working on machine learning as a ready reference. Seller Inventory # 9786139475001
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Classification of Malignant Tumors: A Practical Approach
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139475007
ISBN 13: 9786139475001
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Taschenbuch. Condition: Neu. Classification of Malignant Tumors: A Practical Approach | Dipanjan Moitra | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139475001 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 116798307