Adaptative image flow in collaborative medical telediagnosis environments

Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors to collaborate with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges. We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images in real time. We also make the system adaptive to communicate across different client platforms. We conduct experiments comparing our method with traditional collaborative system, and all results confirm our system is over others in terms of efficiency and robustness.