Fuzzy-entropic approach on chest X-ray region of interest segmentation-heart position shifting using differential evolution optimization and multi-level segmentation technique with cloud computing.

Autor: Priya, R. Krishna, Bimani, Ali Al, Bhupathyraaj, Mullaicharam, Ahamed, Suhail, Arputhanantham, Shyam Sundar, Chacko, Susamma
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Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2023, Vol. 27 Issue 3, p1639-1650, 12p
Abstrakt: The research work intends to segregate the lungs area of interest, especially removing the ribs from the X-Ray images for future image analysis and interpretation. The storage and processing of medical data irrespective of the physical location of lab are explored in this research with Cloud computing. Extracting valid information from a medical image is of high importance in the medical arena. The information loss may lead to the misinterpretation of medical image analysis, which in turn can affect the treatment process to be prolonged or can be deviated from the real phase of examination. Evaluating the entropy from the medical images using the multi-level segmentation using the differential evolution technique on the fuzzy parameters applied on the chest X-ray images resulted in the extraction of the rib cages from the image, thus producing an image with the region of lung alone for the diagnostic purposes. The quality of the information obtained has been evaluated based upon the entropic value. The multi-level segmentation applied on the chest X-ray images using the differential evolution accelerated the optimum fuzzy parameters for the multi-level segmentation. The multi-level algorithmic approach with 4 threshold levels applied had resulted in four different thresholding, out of which the optimum threshold value has been chosen by the algorithm to provide the output. The results thus obtained, outperformed the conventional approach of Otsu segmentation and 3-level segmentation. The computational and storage power of cloud added strength to image data processing. The cloud computing facility by Matlab Cloud NVIDIA eased the processing rather than the conventional computing. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index