A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Brain Image Segmentation Based on Firefly Algorithm Combined with K-means Clustering
2019
Studies in Informatics and Control
During the past few decades digital images have become an important part of numerous scientific fields. Digital images used in medicine enabled tremendous progress in the diagnostics, treatment determination process as well as in monitoring patient recovery. Detection of brain tumors represents one of the active research fields and an algorithm for brain image segmentation was developed with an aim to emphasize four different primary brain tumors: glioma, metastatic adenocarcinoma, metastatic
doi:10.24846/v28i2y201905
fatcat:avnec2d6mnd6fiipdmkag5akta