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Classification Techniques for Medical Image Analysis and Computer Aided Diagnos…

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

A comprehensive guide to the development of classification techniques for computer-aided diagnosis and medical image processing

Nilanjan Dey (Author)

9780128180044

Paperback / softback, published 31 July 2019

218 pages

23.5 x 19 x 1.5 cm, 0.45 kg

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques ar]

Classification Techniques for Medical Image Analysis and Computer Aided Diagnos…

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

A comprehensive guide to the development of classification techniques for computer-aided diagnosis and medical image processing

Nilanjan Dey (Author)

9780128180044

Paperback / softback, published 31 July 2019

218 pages

23.5 x 19 x 1.5 cm, 0.45 kg

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques ar]

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