Computer Aided Diagnostic System for Detection of Lung Cancer by Using Image Processing – A Comparative Analysis.

Registration ID: IJNRD_193655

Published ID: IJNRD2305021

DOI: Click Here to Get

Ms. Ashwini Dattatraya Gopwad , Dr. Ajit A. Maslekar

Keywords- Pulmonary Cancer Detection, Lung Nodule, Deep Learning Network, Computer Aided Diagnosis scheme, Convolutional neural network.

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.

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Ms. Ashwini Dattatraya Gopwad & Dr. Ajit A. Maslekar (May-2023). Computer Aided Diagnostic System for Detection of Lung Cancer by Using Image Processing – A Comparative Analysis.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a153-a162. https://ijnrd.org/papers/IJNRD2305021.pdf

Volume 8 Issue 5, May-2023

Pages : a153-a162

Paper Reg. ID: IJNRD_193655

Published Paper Id: IJNRD2305021

Downloads: 000121983

Research Area: Computer Aided Process Design 

Country: AURANGABAD, MAHARASHTRA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305021.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305021

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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