ISSN 2394-5125
 

Review Article 


MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING

R. Yamini, Muskan Lawania, Aashna Bansal.

Abstract
Early recognition of lung malignant growth from registered tomography (CT) examines is basic in helping radiologists with the assistance of Computer-supported detection (CADe) of pneumonic nodules. One of the huge reasons of death in India is Lung Cancer. Different information investigation and order procedures have been utilized for the analysis and discovery of lung malignancy. Since the reason for lung malignant growth isn't found, the counteraction is inconceivable. Early recognition is the best way to fix it. Henceforth, lung nodule identification framework utilizing picture pre-processing and AI is utilized to group the nearness of lung nudules in a CT-picture. Tolerant CT check pictures are characterized as typical and irregular. The strange pictures are exposed to division to concentrate on tumor partition. Order is done on highlights separated from the pictures. This paper proposes a productive strategy to identify the lung malignancy and its stages effectively and furthermore means to have progressively precise outcomes by utilizing KNN and Image Processing systems.

Key words: Early Cancer Detection, Pulmonary Nodules, Image Processing, Segmentation, Feature Extraction, KNN Technique.


 
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How to Cite this Article
Pubmed Style

R. Yamini, Muskan Lawania, Aashna Bansal. MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. JCR. 2020; 7(4): 237-242. doi:10.31838/jcr.07.04.44


Web Style

R. Yamini, Muskan Lawania, Aashna Bansal. MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. http://www.jcreview.com/?mno=94322 [Access: June 01, 2021]. doi:10.31838/jcr.07.04.44


AMA (American Medical Association) Style

R. Yamini, Muskan Lawania, Aashna Bansal. MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. JCR. 2020; 7(4): 237-242. doi:10.31838/jcr.07.04.44



Vancouver/ICMJE Style

R. Yamini, Muskan Lawania, Aashna Bansal. MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. JCR. (2020), [cited June 01, 2021]; 7(4): 237-242. doi:10.31838/jcr.07.04.44



Harvard Style

R. Yamini, Muskan Lawania, Aashna Bansal (2020) MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. JCR, 7 (4), 237-242. doi:10.31838/jcr.07.04.44



Turabian Style

R. Yamini, Muskan Lawania, Aashna Bansal. 2020. MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. Journal of Critical Reviews, 7 (4), 237-242. doi:10.31838/jcr.07.04.44



Chicago Style

R. Yamini, Muskan Lawania, Aashna Bansal. "MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING." Journal of Critical Reviews 7 (2020), 237-242. doi:10.31838/jcr.07.04.44



MLA (The Modern Language Association) Style

R. Yamini, Muskan Lawania, Aashna Bansal. "MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING." Journal of Critical Reviews 7.4 (2020), 237-242. Print. doi:10.31838/jcr.07.04.44



APA (American Psychological Association) Style

R. Yamini, Muskan Lawania, Aashna Bansal (2020) MORPHOLOGY BASED LUNG NODULE DETECTION USING MACHINE LEARNING. Journal of Critical Reviews, 7 (4), 237-242. doi:10.31838/jcr.07.04.44