| Penulis/Author |
Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1); Dr.Eng. Ir. Sunu Wibirama, S.T., M.Eng., IPM. (2) |
| Abstrak/Abstract |
Lung cancer is one of the common cancer which
occurred in both male and female. Revealed by WHO data, in
2012, this disease become one of the major cause of death in
worldwide with the mortality rate about 1.59 million. An early
detection of lung cancer by using Computed Tomography (CT)
Scan can provide more opportunity to survive. However, the
diagnosis of lung cancer by reading the CT scan image which
performed by radiologists may lead to an error. A computerbased
digital image processing is a solution to improve the
accuracy and consistency in reading the CT Scan image result.
This study aim is to identify the morphological characteristic of
regular and irregular margins by using feature extraction
method. In this research, image processing divided into several
stages refer to the segmentation process with Otsu method,
feature extraction with number of features such as convexity,
solidity, circularity, and compactness, and the last is classification
by using Multi Layer Perceptron (MLP). The classification
process of features convexity, solidity, circularity, and
compactness, resulted in the accuracy value of 85%, sensitivity of
85%, and specificity of 85%. |
