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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
Lung Cancer Prediction With CT Scan Images Using Machine Learning
Authors
Mr. Siju V Soman, Akanksha, Akanksha U Saadhana, Arva Fathima, Nazila Hamad Bhava
Keywords
Lung Cancer, CT scan, Machine Learning, Convolution Neural Network, Image processing.
Abstract
Lung cancer is a serious disease that can be life-threatening if not diagnosed and treated in time. Early detection is crucial for improving patient survival rates. To achieve this, researchers are using advanced technologies such as image processing and machine learning to analyze medical images for the early detection and treatment of lung cancer. In this study, the researchers propose an automated approach that uses computed tomography (CT) images to identify lung cancer in its early stages. The main objective is to achieve high accuracy in lung cancer diagnosis. The proposed framework involves several steps, including image enhancement, filtering, segmentation, feature extraction, and support vector machine. The experiment results show the accuracy performance of the proposed method, indicating its potential to improve lung cancer diagnosis and treatment.
IJCRT's Publication Details
Unique Identification Number - IJCRT2305094
Paper ID - 235954
Page Number(s) - a702-a706
Pubished in - Volume 11 | Issue 5 | May 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mr. Siju V Soman, Akanksha, Akanksha U Saadhana, Arva Fathima, Nazila Hamad Bhava, "Lung Cancer Prediction With CT Scan Images Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.a702-a706, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305094.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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