Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis [electronic resource]
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...
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| Online Access: |
Full Text (via ScienceDirect) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Diego, UNITED STATES
Academic Press
2019.
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| Edition: | ISSN. |
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| Summary: | 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 are discussed, as they have proven to be good classifiers for medical images. |
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| Physical Description: | 1 online resource (220) |
| ISBN: | 0128180048 9780128180044 9780128180051 0128180056 |
| Source of Description, Etc. Note: | Description based on print version record. |