Distributed decision support architecture for soft tissue tumor diagnosis

摘要: This poster introduces a novel distributed decision support system to help radiologist in the soft tissue tumors (STT) diagnosis. The decision support systems are based on pattern recognition engines to classify between benign/malignant character and histological groups with good estimated efficiency. A distributed system with location-independent and multi-platform features has been developed to bring together hospitals and institutions to research useful tools in clinical and laboratory environments. The nodes maintenance and upgrade are automatically controlled by the architecture. This tool will be useful to assist the radiologist decision in new cases and help the education of new radiologist.