Special issue on Decision Support Systems for Medical Applications

Abstract

Applications such as medical imaging depend strongly on the computer aided decision support systems for disease diagnosis and treatment planning. This applies an extra pressure on the computer based systems to provide highly accurate results within less convergence time. Soft computing techniques are widely preferred for such applications because of its numerous advantages. Though theoretically proven, these methodologies are rarely used in practice in real time scenario. This is mainly due to the various existing gaps between the theoretical and practical cases of soft computing approaches. This special issue stands as a bridge to unify the theoretical and practical concepts of soft computing techniques in the context of medical imaging applications. The focus of the special issue is on throwing new seeds of soft computing techniques for feasible application in the medical field.