Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Stay ahead of the curve with the latest advances in medical image analysis and computer-aided diagnosis. This comprehensive book, written by renowned author Nilanjan Dey, covers the application of classification techniques to a wide range of clinical applications, making it an invaluable resource for researchers and biomedical engineers in the fields of machine learning, deep learning, data analysis, data management, and CAD systems design.

Pattern Recognition Methods for Medical Image Classification

The book delves into the complexities of image classification problems using various pattern recognition methods, including:

• Artificial Neural Networks (ANN)
• Support Vector Machines (SVM)
• Bayesian Networks (BN)
• Deep learning

These cutting-edge techniques have proven to be effective classifiers for medical images, and are essential for researchers and engineers working in the field.

Data Mining Techniques for Medical Image Analysis

The book also explores numerous data mining techniques, which have been shown to be effective in medical image classification. These techniques enable researchers to extract valuable insights from medical images, leading to improved diagnosis and treatment outcomes.

Taxonomy of Supervised and Unsupervised Models

The book provides a detailed examination of the methodology of classification of medical images, covering the taxonomy of both supervised and unsupervised models, algorithms, applications, and challenges. This comprehensive approach enables readers to gain a deeper understanding of the complex issues involved in medical image analysis.

Recent Advances in Artificial Neural Networks, Machine Learning, and Deep Learning

The book discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications, highlighting their potential to revolutionize medical image analysis and computer-aided diagnosis.

Medical Image Processing and Analysis for CAD Systems Design

Finally, the book introduces several techniques for medical image processing and analysis for CAD systems design, providing researchers and engineers with the tools they need to develop cutting-edge CAD systems.

With its comprehensive coverage of classification techniques, pattern recognition methods, and data mining techniques, this book is an essential resource for anyone working in the field of medical image analysis and computer-aided diagnosis.

Product Details:

Published by Elsevier Science on July 31, 2019. Language: English. ISBN: 9780128180044, 9780128180051.