01531nas a2200229   4500000000100000000000100001008004100002260001200043653001700055653001000072653001100082653001900093653001300112100003300125700001900158245008300177856009800260300001000358490000600368520091300374022001401287       2017                            d  c09/201710aSegmentation10aTumor10aCancer10aFractal Theory10aMedicine1 aAfsaneh Abdollahzadeh Rezaie1 aAli Habiboghli00aDetection of Lung Nodules on Medical Images by the Use of Fractal Segmentation  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_2_pdf_65326.pdf  a15-190 v43 aIn the present paper, a method for the detection of malignant and benign tumors on the CT scan images has been proposed. In the proposed method, firstly the area of interest in which the tumor may exist is selected on the original image and by the use of image segmentation and determination of the image’s threshold limit, the tumor’s area is specified and then edge detection filters are used for detection of the tumor’s edge. After detection of area and by calculating the fractal dimensions with less percent of errors and better resolution, the areas where contain the tumor are determined. The images used in the proposed method have been extracted from cancer imaging archive database that is made available for public. Compared to other methods, our proposed method recognizes successfully benign and malignant tumors in all cases that have been clinically approved and belong to the database.  a1989-1660