Special Session 3

Special Session 3: Computer-Aided Diagnosis Based on Medical Images: Trends and Future Research

Description: Computer-aided diagnosis (CAD) has made considerable progress in the last decades, resulting in the development of several effective CAD systems. Recent advances in machine learning (ML) have opened up novel avenues for computer-assisted diagnosis of medical images. Additionally, improvements in ML techniques, which are mostly based on deep learning (DL), have substantially impacted the performance of CAD systems.

Currently, the medical sector demands more creative technology to handle vast amounts of data and enhance the quality of service provided to patients. It also requires an intelligent system to identify early symptoms of multiple infections and give suitable treatment. A significant recent breakthrough via DL techniques has garnered interest in academic research and business application groups. DL is the most rapidly expanding discipline of machine learning, with extensive applications in the prognosis of Pleural Mesothelioma. Recent studies have shown that DL may dramatically improve the diagnosis prediction of contagious diseases. Hence, ML/DL approaches can enhance the accuracy of CAD systems.

Session organizer
Prof. Tao Zhou, North Minzu University, China

The topics of interest include, but are not limited to:
• CAD Using Biomedical Images
• Applications of Computer-assisted Detection/Diagnosis
• Supervised Learning for Medical Images
• Computational Expert Systems for Medical Images
• Computer-aided Decision Support Systems
• Clinical Decision Support Systems
• Deep Learning Models for Medical Image Segmentation, Classification and Predictions
• Uncertain Analysis in Medical Images Analysis
• Machine Learning-based Integrated Concepts and Solutions in Medical Images Analysis

Submission method
Submit your Full Paper (no less than 8 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 3 (Computer-Aided Diagnosis Based on Medical Images: Trends and Future Research)
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Introduction of session organizer