The “Computational Biomedical Laboratory” of the Department of Digital Systems of the University of Piraeus signed Memorandum of Understanding (MoU) with the “Hellenic Society for the Study of Risk Factors in Vascular Diseases” aiming at the implementation of Program: “e-Perseas/Diabetes” (Prospective Evaluation of vascular Risk Surrogates: the Elafonisos Area Study), in the general population of…
Read MoreCBML took part in the challenge hosted by the International Skin Imaging Collaboration – ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection/Task 1: Lesion Boundary Segmentation. Our approach got the 39th position out of 112 participations. We employed Mask R-CNN architecture for the Deep Learning of the Training Dataset. Here is the ISIC 2018 Leaderboard,…
Read MoreCBML participates and supports: The 27th International Conference on Artificial Neural Networks – ICANN 2018 https://e-nns.org/icann2018/ The 15th International Conference on Artificial Intelligence Applications and Innovations – AIAI and the 20th International Conference on Engineering Applications of Neural Networks – EANN 2019 Joint conference (site not available yet).
Read MoreThe Computational Biomedicine Research Lab, within the Department of Digital Systems in University of Piraeus is seeking for well-motivated PhD candidates for two new funded research projects. The first project aims at the development of a computer vision system for skin dermoscopy through the exploitation of Deep Neural Networks and Machine Learning techniques. The second…
Read MoreOur paper having the title: “A Web based modular environment for Assisting Health Policy Making Utilizing Big Data Analytics” has been accepted at the 9th International Conference on Information, Intelligence, Systems and Applications – IISA2018. In this work we present the conceptual design of a Web based environment called Policy Development Toolkit (PDT), which aims…
Read MoreCBML participates in the “14th International Conference on Artificial Intelligence Applications and Innovations” – AIAI 2018 with three studies.
Read MoreOur paper having the title: “SUPERPIXEL-BASED CLASSIFICATION OF OCCLUSAL CARIES PHOTOGRAPHY” has been accepted at the 2018 IEEE International Conference on Image Processing – ICIP2018.
Read MorePoster: The CrowdHEALTH approach for Health Policy Making based on Big Data Analytics Presented at the MIE2018 – Medical Informatics Europe Conference – Gothenburg, Sweden.
Read MoreRobots and robotics have been a fixture in healthcare for decades. New telehealth and mHealth tools are giving them a chance to shine. https://mhealthintelligence.com/features/can-telemedicine-robots-move-from-fantasy-to-fact
Read MoreStreaming video is making its mark in healthcare – but slowly. A new survey suggests providers are slow to recognize the value of the mHealth service in terms of care collaboration and reduced travel. https://mhealthintelligence.com/news/mhealth-survey-providers-are-slowly-embracing-the-value-of-video
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