Early Breast Cancer Tumor Detection on Mammogram Images
نویسندگان
چکیده
This proposed work discusses about the breast cancer detection at the earlier stage on mammogram images using k-means algorithm. This approach has been done in three steps. The primary step is pre-processing, which removes noises in the images. Then canny edge detection is used to detect the edges of images. After finding the edges morphological operation is done to get clear mass. Then original image overlapped with the erode image to get clear view of tumor. K-means algorithm is used to classify the tumor level based on the count of pixel values in the mammogram images. Further the level of the tumor has been analysed and classified. In this proposed work identifies tumor level based on the pixel count as well as it also detects the tumor in the earlier stage itself. Keywords— Mammogram, tumor, Segmentation, Edge detection, Canny, Median Filter, Thresholding.
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