INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
ABSTRACT: Deep Literacy is an emergent and influential system which is used for point literacy and pattern recognition. We give a comparison between Computer backed opinion scheme using Deep literacy fashion and traditional Computer backed opinion scheme in our paper. In our study, we find that Convolutional neural networks are used for pulmonary cancer discovery in utmost of the cases, as compared to other algorithms in deep literacy ways. In conclusion, we address the many difficulties in the perpetration of the systems for pulmonary cancer, also we summarise the advantages and disadvantages of the being algorithms for opinion of pulmonary cancer.
Keywords:
Keywords- Pulmonary Cancer Detection, Lung Nodule, Deep Learning Network, Computer Aided Diagnosis scheme, Convolutional neural network.
Cite Article:
"Computer Aided Diagnostic System for Detection of Lung Cancer by Using Image Processing – A Comparative Analysis.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a153-a162, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305021.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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