Koc, G.Sario?lu, B.2024-07-182024-07-1820149781479948741https://doi.org/10.1109/SIU.2014.6830270https://hdl.handle.net/11411/64292014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053In this paper, an algorithm which is implemented for cancer detection in image processing and the results of the algorithm are mentioned. Researched work has three main steps. In first step, images are passed through significant steps for noise removal; at the second step, various histogram thresholds are calculated and at the last step cancer is detected with respect to calculated thresholds. As a result, the highest success rate is obtained as 81.25 percent while the lowest success rate is 37.5 percent. © 2014 IEEE.trinfo:eu-repo/semantics/closedAccessCancer DetectionHistogramThresholdAlgorithmsDiseasesImage ProcessingCancer Cell DetectionCancer DetectionHistogramHistogram ThresholdNoise RemovalThresholdThreshold AlgorithmsGraphic MethodsConference Object2-s2.0-8490376446410.1109/SIU.2014.6830270484N/A481