Lung Cancer detection using Matlab

Lungs Cancer Detection from MRI Image

Using Image Processing Technique

Vipin Kumar Jain Dr. Ritu Vijay Lecturer , Department of Computer Science, HEAD ,Department of Electronics S.S.Jain Subodh P.G.College,Jaipur Banasthali University Research Schooler of Banasthali University

Email- [email protected]

Abstract: This paper is designed to detect the lungs caner from a MRI image, taken from a

particular angle. The image shows a big spot in left part of lung that may be suspicious object, from

which some part is extracted that is our ROI. Another sample of normal image is also extracted. We compare the intensity of value of both image samples and observe that cancer infected flash image

has very much variation in intensity values at many palaces while normal flash image don’t show any big variation in intensity values in image.

Keywords : Cancer detection, MRI ,ROI, Segmentation, Enhancement.

Introduction : The lungs are a pair of sponge with cone

shape. The right lung has three lobes and left lung has two lobes. The right lung is larger than the left lung. The oxygen is provided to

lung by inhaling process. The lungs tissue transfer oxygen to blood stream. The lung cancer is a disease of abnormal cells

multiplying and growing into a tumor cancer cells can be carried away from the lungs in

blood. Metastasis occurs when a cancer cell leaves the site where it began and move into a lymph node or to another part of the body

through the blood stream[1]. The lung cancer often spread toward the centre of the chest

because the natural flow of lymph out of the lungs is toward the centre of the chest. There are several different type of lung cancer

and these are divided into main two category ; small cell lung cancer and non-small cell lung cancer which has three subtypes ; Carcinoma,

Aden carcinoma and squamous cell Carcinomas. It is observed that lung cancer

ranked second among males and 10th among females[2]. The image processing technique are used

widely in various medical areas for improving earlier detection and treatment stages. The

time factor is very important to discover the disease in the patient as possible as fast, especially in various Cancer tumors like lung

cancer, breast cancer. The early detection of lung cancer is very important for successful treatment.

Methodology: Lungs MRI image taken from a particular Angle

Region of Interest (ROI)

Grayscale image Sample of Cancer infected Flash

Grayscale image Sample of Normal Flash

Vipin Kumar Jain et al, Int.J.Computer Technology & Applications,Vol 4 (2),179-181

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This method of lungs cancer detection follow some steps :

we take MRI images of lungs, taken from different angles.

Choose suspected image and extract the suspect part of the image.

Take a image sample of suspect part of

image. Take a image sample of normal side of

image.

Compare the intensity values of both sample images.

It is found that cancer infected grayscale image sample has a big variation in pixel intensity values at

some places

Steps : Acquiring Image from MRI Machine

Setting up ROI

Taking Sample of Suspected Cancer infected

Flash in Image Taking Sample of Normal Flash in Image

Comparing the Intensity Values of Both Image

The pixel intensity values of both samples of grayscale images shows that there is big

variation in pixels intensity values of cancer infected image. This method is helpful to detected the cancer at early stage.

Matlab coding to get pixels intensity values :

C=imread(„c:\infectsample.jpg‟); E=rgb2gray(C); Disp(E);

D=imread(„c:\normalsample.jpg‟); F=rgb2gray(D);

Disp(F);

CANCER AFFECTED SAMPLE IMAGE MATRIX VALUES

Columns 1 through 24 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 1 0 0 0 0 0 0 0 1 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 0 1 4 4 5 5 5 4 3 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 0 1 3 3 3 4 4 4 3 2 1 1 2 2 1 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 3 2 1 1 1 2 1 1 1 0 0 0 1 1 0 0 0 0 2 2 1 1 1 3 3 2 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 2 2 1 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 2 1 1 0 0 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 2 3 3 3 3 3 3 2 2 2 2 2 2 2 1 0 0 0 0 0 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 3 3 4 4 4 4 4 3 2 2 2 2 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 0 1 1 0 0 0 0 1 1 1 0 0 0 0 2 2 3 3 3 3 3 2 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 Columns 25 through 48 1 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 1 2 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 1 1 2 3 4 5 7 7 7 6 5 4 4 4 5 5 5 2 0 0 0 0 1 1 0 0 1 2 3 4 6 6 6 4 3 3 4 4 5 5 5 2 0 0 0 0 1 1 1 0 0 1 2 3 4 4 4 3 3 2 3 4 4 4 4 2 1 1 1 0 1 1 1 0 0 1 1 3 3 3 2 1 1 1 3 4 4 4 4 2 1 1 1 1 2 2 2 0 0 0 1 2 2 2 1 0 0 0 2 3 3 3 3 2 1 1 1 1 2 2 2 0 0 0 1 2 1 1 0 0 0 0 1 2 2 2 2 2 0 1 1 1 2 2 2 0 0 0 1 1 1 0 0 0 0 0 1 2 2 2 2 1 1 1 1 2 3 3 3 0 1 1 2 1 1 0 0 0 0 0 0 1 1 2 2 0 0 0 1 2 2 3 3 0 1 2 2 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 2 3 4 4 0 1 2 2 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 2 3 4 4 0 1 1 2 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 2 3 4 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 3 3 4 5 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 3 3 5 6 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 4 5 6 6 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 5 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 3 4 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2 3 5 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 3 5 5 4 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 5 5 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 5 5 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 4 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 3 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 3 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 5 8 9 0 1 1 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2 7 12 13 0 1 1 1 2 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2 10 17 18 0 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 2 10 18 19 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 2 10 18 19

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NORMAL SAMPLE IMAGE MATRIX VALUES Columns 1 through 24 0 0 0 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 3 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 1 2 2 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 2 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 3 3 3 2 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 1 0 0 0 0 0 >>

Conclusion : After comparing the intensity values of both images , it is found that suspected cancer

infected image has a big variation in intensity values while normal flash image don‟t show

any major changes in surrounding pixels. Hence this method will be very helpful to dectect the cancer at early stage.

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:http://www.katemacintyfoundation.org/pdf/non-small-cell.pdf, Adapted from National

Cancer Institute(NCI) and Patients Living with Cancer (PLWC), 2007,(accessed July 2011).

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http://www.moh.gov.jo/MOH/Files/Publication/Jordan%20Cancer%20Registry_2008%

20Report_1.pdf,2008(accesed July 2011) 3. Lung Cancer database, Available at :

https://eddie.via.cornell.edu/cgibin/datac/s

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Processing, Using Saddle River, NJ Prentice Hall, 2008.

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Cancer Detection Using Image Processing Techniques”, Leipt issue-20, page -147-

158. 7. Zhi-Hua Zhou, Yuan Jiang,Yu-Bin Yang,

Shi-Fu Chen, “Lung Cancer cell

Identification based on Artificial Neural Networks Ensembles”.

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Vipin Kumar Jain et al, Int.J.Computer Technology & Applications,Vol 4 (2),179-181

181

ISSN:2229-6093

IJCTA | Mar-Apr 2013 Available [email protected]