This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.
Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.
In addition to exploring recent endeavours in the...
This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers t...
The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).
The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DC...
This book introduces medical imaging, its security requirements, and various security mechanisms using data hiding approaches. The authors show how these techniques are used for security and integrity verification of medical images and designed for various types of medical images such as grayscale image and color image.
This book introduces medical imaging, its security requirements, and various security mechanisms using data hiding approaches. The authors show how th...
