ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Cervical Cancer Detection Using Deep Learning and Reinforcement Learning
Authors
Bhoomika K , Pranathi S Holla , AYESHA TASMIYA , ANAMIKA , Renuka Patil
Keywords
Cervical cancer screening, Colposcopy, Deep Learning, Convolutional Neural Networks (CNNs), EfficientNet-B3, multi-stage diagnostic pipeline, Image quality assessment, Lesion classification, Reinforcement Learning (RL) Agent, Data imbalance handling, Lightweight AI models, Resource-limited healthcare settings
Abstract
Cervical cancer continues to be a significant worldwide health concern, particularly in areas with poor access to professional screening. The multi-stage, CPU-friendly deep learning pipeline shown in this study is intended to facilitate accessible and comprehensible colposcopy-based diagnosis. Four sequential modules make up the framework's clinically inspired workflow: a surveyor for image quality assessment, a Screener for normal-abnormal differentiation, a Grader for lesion severity classification, and a Reinforcement Learning (RL) Decision Agent for confidence refinement. The fundamental framework for classification jobs is EfficientNet-B3, which provides robust performance while maintaining computational viability for CPU deployment. This method improves reliability, lowers false positives, and facilitates scalable early detection in healthcare settings with limited resources by organizing the system as a hierarchical pipeline and addressing real-world picture variability.
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IJCRT — journal style
"Cervical Cancer Detection Using Deep Learning and Reinforcement Learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.a930-a937, December 2025, Available :https://ijcrt.org/papers/IJCRT2512121.pdf
APA — 7th edition
K, B., Holla, P. S., TASMIYA, A., ANAMIKA, & Patil, R. (2025). Cervical Cancer Detection Using Deep Learning and Reinforcement Learning. International Journal of Creative Research Thoughts, 13(12), a930-a937. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121
MLA — 9th edition
K, Bhoomika, et al. "Cervical Cancer Detection Using Deep Learning and Reinforcement Learning." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. a930-a937, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121.
Chicago — 17th, bibliography
K, Bhoomika, et al. "Cervical Cancer Detection Using Deep Learning and Reinforcement Learning." International Journal of Creative Research Thoughts 13, no. 12 (2025): a930-a937. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121.
Harvard — author–date
K, B. et al. (2025) 'Cervical Cancer Detection Using Deep Learning and Reinforcement Learning', International Journal of Creative Research Thoughts, 13(12), pp. a930-a937. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121
IEEE — numbered reference
B. K, P. S. Holla, A. TASMIYA, ANAMIKA and R. Patil, "Cervical Cancer Detection Using Deep Learning and Reinforcement Learning," IJCRT, vol. 13, no. 12, pp. a930-a937, Dec. 2025.
Vancouver — biomedical
K B, Holla PS, TASMIYA A, ANAMIKA, Patil R. Cervical Cancer Detection Using Deep Learning and Reinforcement Learning. IJCRT. 2025 Dec;13(12):a930-a937.
AMA — 11th edition
K B, Holla PS, TASMIYA A, ANAMIKA, Patil R. Cervical Cancer Detection Using Deep Learning and Reinforcement Learning. IJCRT. 2025;13(12):a930-a937. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512121,
author = {Bhoomika K and Pranathi S Holla and AYESHA TASMIYA and ANAMIKA and Renuka Patil},
title = {Cervical Cancer Detection Using Deep Learning and Reinforcement Learning},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {12},
pages = {a930-a937},
year = {2025},
month = {December},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K, Bhoomika
AU - Holla, Pranathi S
AU - TASMIYA, AYESHA
AU - ANAMIKA
AU - Patil, Renuka
TI - Cervical Cancer Detection Using Deep Learning and Reinforcement Learning
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 12
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121
SP - a930-a937
ER -
Issue
Volume 13 Issue 12,
December-2025
Pages : a930-a937
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 12, December 2025
- Pages
- a930-a937
- Published
- December 2025
- Registration ID
- IJCRT_298185
- Published Paper ID
- IJCRT2512121
- Research Area
- Humanities All
- Author Type
- Indian Author
- Location
- Bangalore, Karnataka, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 266
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512121
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2512121.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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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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