Guest Editors
Dr. A. Balasundaram, Vellore Institute of Technology (VIT), India.
Dr. Arun Kumar Sivaraman, Vellore Institute of Technology (VIT), India.
Dr. Kong Fah Tee, University of Greenwich, United Kingdom.
Summary
Cancer is a chronic disease characterized by the development and growth of abnormal cells that multiply in an uncontrolled manner and possess the ability to infiltrate and destroy normal tissues. It is considered as one of the prominent diseases leading to death. Early detection and effective prognosis may suppress the severity of this disease and might prove pivotal in saving human lives. Cancer prognosis is influenced by several factors such as cancer type, location, level of infection, grade, patient age and physical and general health etc. The culmination of proper analysis of all these aspects results in effective cancer prognosis and prediction. To enable automated, reliable and accurate solutions, Artificial Intelligence and its allied sub domains such as machine learning, computer vision, data analytics, pattern mining, pattern recognition etc., are considered as viable technology enablers that promote effective Cancer Prognosis and Prediction.
This special issue is focused towards providing selected works that discuss about artificial intelligence based solutions for early cancer prognosis and prediction.
Keywords
Machine Learning, Cancer Prediction, Internet of Things, Deep Neural Network, Computer Vision
Published Papers
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