Open Access
Subscription Access
Open Access
Subscription Access
An Automatic Identification of Lung Cancer from Different Types of Medical Images
Subscribe/Renew Journal
Identification of lung cancer from the medical images is the most difficult task. The objective of this research work is to identify the cancerous and non-cancerous lung which is taken from different medical images like Computer Tomography medical images and Positron Emission Tomography medical images. The proposed algorithm is used to predict lung cancer by using different image processing techniques. It is divided into four stages such as pre-processing, binarization, segmentation and thresholding. This research paper ensures that the image quality is retained effectively thereby extracting appropriate features for identifying cancerous and non-cancerous lung. The algorithm is trained and tested for cancerous and non-cancerous images.
Keywords
Lung Cancer, Pre-Processing, Binarization, Segmentation, Thresholding, Terminalia arjuna Stem Bark, Glycyrrhiza glabra Roots, Phytochemicals.
Subscription
Login to verify subscription
User
Font Size
Information
- Prathamesh Gawade and R.P. Chauhan, “Detection of lung cancer using image processing techniques,” International Journal of Advanced Technology and Engineering Exploration, Volume (3), Issue (1), 2016.
- Munimanda Prem Chander, M. Venkateshwara Rao, T. V. Rajinikanth, “Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study,” International Journal of Medical Imaging, Volume (5), Issue (4), 2017.
- B. Muthazhagan and T. Ravi, “An Early Diagnosis of Lung Cancer Disease Using Data Mining and Medical Image Processing Methods: A Survey,” Middle-East Journal of Scientific Research, Volume (5), Issue (4), 2016.
- Arvind Kumar Tiwari, “Prediction of Lung Cancer Using Image Processing Techniques: A Review,” An International Journal (ACII), Volume (3), Issue (1), 2016.
- Mokhled S.AL-Tarawneh, “Lung Cancer Detection using Image Processing Technique,” Leonardo Electronic Journal of Practices and Technologies, Issue (20), 2012.
- Prashant Naresh and Dr. Rajashree Shettar, “Image Processing and Classification Techniques for Early Detection of Lung Cancer for Preventive Health Care: A Survey,” Int. J. of Recent Trends in Engineering & Technology, Volume (11), 2014.
- Jaspinder Kaur, Nidhi Garg, Daljeet Kaur, “A survey of Lung Cancer Detection Techniques on CT scan Images,” International Journal of Scientific and Engineering Research, Volume (5), Issue (6), 2014.
- Er. Nisha, Er. Lavina Maheshwari, “Lung Tumor Detection by Using Image Segmentation and Neural Network,” International Journal of Enhanced Research in Science, Technology and Engineering, Volume (4), Issue (12), 2015.
- G. Vijaya, A. Suhasini, R. Priya, “,” An International Journal (ACII), Volume (3), Issue (1), 2016.
- G. Niranjana, Dr. M. Ponnavaikko, “A Review on Image Processing Methods in Detecting Lung Cancer using CT Images,” International Conference on Technical Advancements in Computers and Communications, 2017.
- Shraddha G. Kulkarni, Sahebrao B. Bagal, “Lung Cancer Tumor Detection Using Image Processing and Soft Computing Techniques,” International Conference on Recent Research Development in Science, Engineering and Management, 2016.
- Neha Panpaliya, Neha Tadas, Surabhi Bobade, Rewti Aglawe, Akshay Gudadhe, “A Survey on Early Detection and Prediction of Lung Cancer,” An International Journal of Computer Science and Mobile Computing, Volume (4), Issue (1), 2015.
- Md. Badrul Alam Miah and Mohammad Abu Yousuf, “Detection of Lung Cancer form CT Image Using Image Processing and Neural Network,” International Conference on Electrical Engineering and Information Communication Technology, 2015.
- Mukesh K. Nag, Satish Patel, Rajnikant Panik, Shikha Shrivastava, Sanjay J. Daharwal, Manju R. Singh, Deependra Singh “Lung Cancer Targeting: A Review,” Research Journal of Pharmacy and Technology, Volume (6), Issue (11), 2013.
- R. Pandian, Dr. Lalitha Kumari “C T Image for Lung Cancer Identification,” Research Journal of Pharmacy and Technology, Volume (9), Issue (12), 2016.
- A.V.S.N. Murty, B.N. Jagadesh, K. Bhagavan, S. Satyanarayana “A Comparative Study of Various Edge Enhancement Filters in Spatial Domain,” Research Journal of Pharmacy and Technology, Volume (9), Issue (12), 2016.
- S. Syes Abdul Syed, T. Senthil Kumaran “FCM based Segmentation for Medical Images,” Research Journal of Pharmacy and Technology, Volume (10), Issue (12), 2017.
- Shaik Naseera “Client-Server Architecture for Embedding Patient Information on X-Ray Images,” Research Journal of Pharmacy and Technology, Volume (9), Issue (9), 2016.
- Deepak Rao Khadatkar and Yogesh Rathore “An Efficient and Useful Hybrid Approach for Detection of Lung Cancer,” Research Journal of Pharmacy and Technology, Volume (2), Issue (4), 2011.
- T. Sudhakar, Bethanney Janney. J, Haritha. D, Juliet Sahaya. M, Parvathy. V “Automatic Detection and Classification of Brain Tumor using Image Processing Techniques,” Research Journal of Pharmacy and Technology, Volume (10), Issue (11), 2017.
- Swarnakala, Natarajah Srikumaran “Brain Tumor Segmentation by EM Algorithm,” Research Journal of Pharmacy and Technology, Volume (10), Issue (9), 2017.
- Shyamala Devi M, Sruthi A. N, Saranya Jothi C “MRI Liver Tumor Classification Using Machine Learning Approach and Structure Analysis,” Research Journal of Pharmacy and Technology, Volume (11), Issue (2), 2018.
- B.D. Venkatramana Reddy and T. Jayachandra Prasad “Color-Texture Image Segmentation Algorithms based on Hypercomplex Gabor Analysis,” Research Journal of Pharmacy and Technology, Volume (2), Issue (2), 2011.
Abstract Views: 268
PDF Views: 0