COMPUTER-AIDED DIAGNOSIS: AN APPROACH FOR LUNG CANCER DETECTION
| Author(s) | : | Mrs. Vidya Thorat, Pradnya Joshi, Pragya, Rupali Chaturvedi, Rasika Nimkarde |
| Institution | : | (Assistant Professor, Department of Computer Engineering, Pune/D.Y.Patil College Of Engineering Akurdi |
| Published In | : | Vol. 5, Issue 5 — May 2018 |
| Page No. | : | 232-237 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Lung cancer is the most powerful cancer for both men and women. It can often grow for long time before they arefound. In order to treat the early lung cancer more effectively, it is important to develop an effective clinical marker orprediction model to more accurately predict cancer prognosis after cancer surgery. The main aim is to automate theclassification process for the early detection of Lung Cancer. By using computed tomography (CT) images, a computer-aideddetection scheme is used to segment lung tumors and computed tumor-related image features. The steps for lung cancerdetection start with process of accepting CT Images.These CT images are further processed using algorithms followed bysegmentation. The entire implementation is done in Python.
Mrs. Vidya Thorat, Pradnya Joshi, Pragya, Rupali Chaturvedi, Rasika Nimkarde, “COMPUTER-AIDED DIAGNOSIS: AN APPROACH FOR LUNG CANCER DETECTION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 232-237, May 2018.
