6533b836fe1ef96bd12a1b82
RESEARCH PRODUCT
Automatic monitoring system for the detection and evaluation of the evolution of hemangiomas
Mihai CiucElena-catalina NeghinaMarta ZamfirMaria PopescuAlina Sultanasubject
0301 basic medicineMatching (graph theory)Computer sciencebusiness.industryFeature extractionFuzzy setMonitoring systemImage segmentationmedicine.diseaseFuzzy logicHemangioma03 medical and health sciences030104 developmental biologymedicineComputer visionArtificial intelligencebusinessdescription
In this paper we introduce an automatic monitoring system for the detection and the evaluation of the evolution of hemangiomas using a fuzzy logic system based on two parameters: area and redness. We have considered pairs of images (from two different moments in time) that show hemangiomas either evolving, stationary or regressing. The starting points of the algorithm are the rectangular regions of interest (ROI), manually selected for each of the two images, and automatically segmented using Fuzzy C-means. Using the area and the redness of the hemagiomas extracted with Fuzzy C-means, for the same patient, at different moments of time, the algorithm decides whether the hemangioma is evolving, stationary or regressing. Because it is also useful to understand how the tumor's shape is changing in time, we have also included a method of matching and overlapping the hemangioma regions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-12-01 | 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) |