Optimized Deep Learning for Medical Image Retrieval and Classification - Softcover

D, Bhanu Mahesh; Ch, Bindu Madhuri; D, Rajya Lakshmi

Softcover

ISBN 10: 6207479777 ISBN 13: 9786207479771

Publisher: LAP Lambert Academic Publishing, 2026

Synopsis

Computer Aided Diagnosis (CAD) has been a key research area for a decade. CAD systems can help to detect and classify diseases by automating/semi-automating medical image analysis. Computer Aided Diagnosis deals with different medical image modalities and comprises two main functionalities. One is image retrieval, i.e. retrieving similar kinds of images and the second is classification for a given input image. Medical images come in various modalities (e.g., X-ray, MRI, CT scans) and formats, leading to challenges in developing a unified approach for feature extraction, retrieval, and classification across diverse image types which are essential for developing CAD systems. Traditional retrieval methods such as text annotation and histogram-based approaches suffer from several critical drawbacks. This work focuses on developing Content-Based Medical Image Retrieval (CBMIR) and Classification models which can be used in developing efficient CAD systems and in turn can provide complete assistance to radiologists and doctors in diagnosing diseases effectively.

Edition details

• Publisher: LAP Lambert Academic Publishing
• Publication date: 2026
• Language: English
• ISBN 10: 6207479777
• ISBN 13: 9786207479771
• Binding: Paperback
• Number of pages: 200