Special Session 4

Special Session 4: Artificial Intelligent based Medicine Image Analysis: Detection, Recognition and Evaluation

Description: The integration of artificial intelligence (AI) in medical image analysis has revolutionized the field of healthcare by enhancing the capabilities for detection, recognition, and evaluation of medical conditions. As the continuous advancement of modern medical detection technologies, we can obtain massive amounts of data more quickly, conveniently, and accurately. However, conventional data processing models that rely on manual interpretation cannot efficiently manage and utilize this vast amount of data, and they are closely tied to the individual experience level of physicians. Therefore, integrating this data to achieve automated data interpretation and understanding, leading to more accurate predictions, diagnoses, and evaluations, represents a new opportunity and challenge in the field of medical applications.

AI-driven approaches, such as advanced detection algorithms, segmentation techniques, and reconstruction and enhancement methods, have shown significant promise in improving the accuracy and efficiency of medical diagnoses. The relevance of AI in medicine is particularly pronounced in its applications for predictive diagnostics, therapeutic interventions, and prognostic assessments. By leveraging machine learning and deep learning methods, practitioners can harness vast amounts of imaging data to derive actionable insights, ultimately leading to better patient outcomes and more personalized treatment plans.

This special topic aims to gather cutting-edge research and technological advancements in AI for medical image analysis, fostering collaboration and knowledge exchange among experts in the field. Contributions covering subfields such as intelligent detection, segmentation, registration, and quantitative evaluation will elucidate the transformative potential of AI in clinical settings and highlight its role in shaping the future of medical practice.

Session organizer
Assoc. Prof. Min Li, Hohai University, China

The topics of interest include, but are not limited to:
• Multi-modality Data Alignment in Medicine
• Target Detection and Anomaly Detection in Medicine
• Sematic Segmentation of Medical Image
• Quantitative Evaluation in Medicine
• Other Related Technologies in AI-based Diagnoses and Evaluation Methods

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 4 (Artificial Intelligent based Medicine Image Analysis: Detection, Recognition and Evaluation)
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Introduction of session organizer