NDLI: Detection of lung cancer from CT image using image processing and neural network

Content Provider	IEEE Xplore Digital Library
Author	Miah, M.B.A. Abu Yousuf, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. & Commun. Technol., Mawlana Bhashani Sci. & Technol. Univ., Tangail, Bangladesh (Miah, M.B.A.) \|\| Inst. of Inf. Technol., Jahangirnagar Univ., Dhaka, Bangladesh (Abu Yousuf, M.)
Abstract	Detection of lung cancer is the most interesting research area of researcher's in early stages. The proposed system is designed to detect lung cancer in premature stage in two stages. The proposed system consists of many steps such as image acquisition, preprocessing, binarization, thresholding, segmentation, feature extraction, and neural network detection. At first Input lung CT images to the system and then passed through the image preprocessing stage by using some image processing techniques. In first stage, Binarization technique is used to convert binary image and then compare it with threshold value to detect lung cancer. In second stage, segmentation is performed to segment the lung CT image and a strong feature extraction method has been introduced to extract the some important feature of segmented images. Extracted features are used to train the neural network and finally the system is tested any cancerous and noncancerous images. The performance of proposed system shows satisfactory results and proposed method gives 96.67% accuracy.
Starting Page	1
Ending Page	6
File Size	1460571
Page Count	6
File Format	PDF
e-ISBN	9781467366762
DOI	10.1109/ICEEICT.2015.7307530
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-21
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image recognition Lung Cancer Detection Neural Network Lungs Preprocessing Segmentation Feature Extraction Binarization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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