An intelligent multi-modal decision support system for automatic diagnosis of active tuberculosis.

  Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. In this project we are interested to investigate the usage of intelligent decision support techniques to automate the diagnosis/detection process of active tuberculosis. Smart tools for medical applications have high importance and […]

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Development of a system for the automatic recognition and classification of normal and abnormal cells in human blood samples

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working optimized prototype and to start testing it in an […]

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