About this document
Enhancing Medical Image Classification by Manickavasagam is a document available to read on EtoBox.
The document discusses the significance of medical image classification in healthcare, emphasizing the role of automated systems in improving diagnosis accuracy and treatment outcomes. It highlights the integration of deep learning techniques, particularly Convolutional Neural Networks (CNNs), with mathematical approaches like Principal Component Analysis (PCA) and least squares for enhanced image processing. The study aims to address challenges in existing systems, such as high dimensionality and noise, to
- Author
- Manickavasagam
- Language
- EN