Paper Details

Tumor cancer is one of the dangerous cancer diseases and can cause a large amount of death every year allaround the world. Normally tumor cells are of two different types, they are mass and malignant. Their detection is alwaysrequires special attention for the researchers in field of image processing. Image segmentation is one of most importantand fundamental approaches of digital image processing and wid ely being used for the specific suppose of detecting andmeasuring the size of tumor in the human body. This paper represents the extensive Segmentation algorithm to tumorDetection and measuring from MR Image using segmentation. First, an input image is converted into fixed size thenprepossed by Gaussion law pass filter which is improve the qulity of an image. Then the image is segmented using thethresholding method in which by selecting the threshold value an image is segmented. Then using region of interest thesegmented image is cropped and then after measuring the size of segmentation image using pixels for the tretmentplanning. And also there is post processing for morphological operations. This algorithm is much simpler and lesscomplex in the calculation.

Goswami Kalpen S, Rahul B. Shrimali, “Tumor Detection and Measurement from MR Image using Segmentation”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 843-851, May 2015.