Sensors and Algorithms for Microcirculation Analysis

Dear Colleagues,

During the last 10 years, major breakthroughs in machine learning and new imaging technics have been achieved. Both medical and biomedical application domains have widely benefited from these breakthroughs and many new challenges have been opened both at the theoretical and technical levels. Among others, medical image classification, semantic segmentation, new paradigms for non-conventional imaging sensors, and real-time processing for in vivo applications, have attracted significant interest from researchers all over the world. In this context, this Special Issue will focus on microvascular imaging technics and related image analysis challenges. Microvascular networks are of primary importance for the early diagnosis and efficient follow-up for a large diversity of pathologies, including diabetes—the prevalence of which at the international level has become of the utmost importance in developed countries. The scope of this Special Issue includes review and original articles focusing on imagery, instrumentation, computer-vision technics for image analysis (segmentation, characterization, classification, etc.), as well as challenge reports on the latest results.

Prof. Dr. Aymeric Histace
Dr. Camille Simon-Chane
Guest Editors

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• Microvascular network
• Machine learning
• Non-conventional sensors
• Diabetes