ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
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Submission: Always Open
Paper Title
Lung Cancer Prediction Using CNN and Transfer Learning
Authors
Dasari Shashi Kumar , K. Padmaja
Keywords
Lung Cancer Prediction, Convolutional Neural Networks (CNN), Transfer Learning, Deep Learning, Medical Image Classification, CT Scans, Artificial Intelligence in Healthcare
Abstract
Utilizing pre-trained models allows the network to effectively recognize intricate patterns in medical images while minimizing training duration. The dataset is divided into four categories: normal, benign, malignant, and uncertain.
Data preprocessing methods like image resizing and normalization were employed to enhance the model's performance and avoid overfitting. Moreover, data augmentation was applied to guarantee the model's ability to manage novel, unseen data effectively. The model's efficiency was demonstrated via visual representations of essential classification attributes and performance measures. The integration of CNNs and transfer learning presents a scalable and efficient approach for detecting lung cancer, delivering considerable benefits to healthcare practitioners who depend on AI-based diagnostic tools to improve patient results.
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IJCRT — journal style
"Lung Cancer Prediction Using CNN and Transfer Learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 9, page no.e723-e730, September 2025, Available :https://ijcrt.org/papers/IJCRT2509542.pdf
APA — 7th edition
Kumar, D. S., & Padmaja, K. (2025). Lung Cancer Prediction Using CNN and Transfer Learning. International Journal of Creative Research Thoughts, 13(9), e723-e730. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542
MLA — 9th edition
Kumar, Dasari Shashi, and K. Padmaja. "Lung Cancer Prediction Using CNN and Transfer Learning." International Journal of Creative Research Thoughts, vol. 13, no. 9, 2025, pp. e723-e730, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542.
Chicago — 17th, bibliography
Kumar, Dasari Shashi, and K. Padmaja. "Lung Cancer Prediction Using CNN and Transfer Learning." International Journal of Creative Research Thoughts 13, no. 9 (2025): e723-e730. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542.
Harvard — author–date
Kumar, D.S. and Padmaja, K. (2025) 'Lung Cancer Prediction Using CNN and Transfer Learning', International Journal of Creative Research Thoughts, 13(9), pp. e723-e730. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542
IEEE — numbered reference
D. S. Kumar and K. Padmaja, "Lung Cancer Prediction Using CNN and Transfer Learning," IJCRT, vol. 13, no. 9, pp. e723-e730, Sep. 2025.
Vancouver — biomedical
Kumar DS, Padmaja K. Lung Cancer Prediction Using CNN and Transfer Learning. IJCRT. 2025 Sep;13(9):e723-e730.
AMA — 11th edition
Kumar DS, Padmaja K. Lung Cancer Prediction Using CNN and Transfer Learning. IJCRT. 2025;13(9):e723-e730. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2509542,
author = {Dasari Shashi Kumar and K. Padmaja},
title = {Lung Cancer Prediction Using CNN and Transfer Learning},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {9},
pages = {e723-e730},
year = {2025},
month = {September},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kumar, Dasari Shashi
AU - Padmaja, K.
TI - Lung Cancer Prediction Using CNN and Transfer Learning
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 9
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542
SP - e723-e730
ER -
Issue
Volume 13 Issue 9,
September-2025
Pages : e723-e730
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 9, September 2025
- Pages
- e723-e730
- Published
- September 2025
- Registration ID
- IJCRT_294001
- Published Paper ID
- IJCRT2509542
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- warangal, Telangana, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 247
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509542
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2509542.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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No external funding was received for this study.
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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