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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 14 | Issue 1 | Month- January 2026
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Published Paper Details:
Paper Title
A BETTER DEEP LEARNING-INSPIRED ALGORITHM FOR LUNG CANCER DETECTION
Authors
M. R. Pattnaik, N. Dash, S. R. Dehuri
Keywords
Lung cancer detection, CNN, RCNN, Deep Learning
Abstract
Using deep learning algorithms, especially Convolutional Neural Networks (CNN), has become a more effective way to automate illness diagnosis. This research aimed to see if deep learning-optimized chest CT scans could help diagnose lung cancer. The study involved 90 people diagnosed with lung cancer through surgery or biopsy. A model called RCNN was used for nodule detection, and a common picture segmentation model called Mask-RCNN was also used. The results showed that the suggested algorithm was 71.74% accurate in identifying lung lesions in lung cancer patients, compared to CT scans which had an 88.37% accuracy rate. The sensitivity of the algorithm was 78.21%, and the specificity was 82.87%.
IJCRT's Publication Details
Unique Identification Number - IJCRT2203680
Paper ID - 265816
Page Number(s) - f852-f861
Pubished in - Volume 10 | Issue 3 | March 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
M. R. Pattnaik, N. Dash, S. R. Dehuri, "A BETTER DEEP LEARNING-INSPIRED ALGORITHM FOR LUNG CANCER DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.f852-f861, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203680.pdf
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Volume 14 | Issue 1
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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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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