Identifikasi Keberadaan Tumor Pada Citra Mammografi Menggunakan Metode Run Length
Abstract: Breast cancer is one
of the most cancer disease among women until now. This cancer was formed by
abnormal cells in breast tissue. For early breast cancer detection the
mammography is used by the radiologyst. In mammography the breast tissue is
scanned by Xrays then a resulting image
called mammogram produce. The radiologyst manually examine the mammogram
identifying which area of scanned breast tissue that could have cancer suspect.
In medical term the cancer appear as a mass or microcalcification. Because of
the quality of mammograms and small of cancer area in early stadium the
radiologist sometime have the problem to decide if there is a cancer perform as
a mass or microcalcification. According to mammograms that can be viewed as
texture image, the image processing especially
texture analysis computerizely helped the radiologist to classify the
texturize cancer area. In this research one of
the texture analysis methods named run length method use to get the
features. With this features, k-NN (k-Nearest Neighbour) classifier then decide
whether the suspect area is cancer according to the mass or microcalcification
appeareance or just normal tissue. As the result there is 72% correct
identification among the mammograms data that have been analyzed texturizely
with run length method.
Penulis: Imam Santoso, Achmad
Hidayatno, Andrio Ghara Pratama
Kode Jurnal: jptlisetrodd080048
