ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Colon Cancer Identification Using Deep Learning Techniques
Authors
V.Tharnitha , R.Vinodhini , S.Sivadharani
Keywords
Colon Cancer Detection, Colorectal Cancer, Deep Learning, Convolutional Neural Networks (CNN), Medical Image Processing, Histopathology Images, Colonoscopy Images, Image Classification, Computer-Aided Diagnosis, Early Cancer Detection, Artificial Intelligence in Healthcare.
Abstract
Colon cancer is one of the most life- threaten-
ing and highly spreadable cancers. The old
technologies and methods used for identifying
colon cancer were done by doctors using scan
images or histopathological images, and it
needs expertise in the field to identify the
cancer, which may take hours or days. Some
may even result in errors, leading to delayed
diagnosis, and some may even miss early-
stage detection. To reduce these problems,
we have created a website that can find the
cancer and its percentage in an instant, and to
obtain this, we use a CNN (Convolutional
Neural Network), which helps in extracting the
spatial and needed features from scan images
or histopathological images. The image pro-
cessing technique includes resizing t he
image, noise removal, normalisation, and
data augmentation. Then the model will be
trained to detect whether the image is cancer-
ous or non-cancerous, and the percentage of
cancer.
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IJCRT — journal style
"Colon Cancer Identification Using Deep Learning Techniques", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.a339-a346, April 2026, Available :https://ijcrt.org/papers/IJCRT2604046.pdf
APA — 7th edition
V.Tharnitha, R.Vinodhini, & S.Sivadharani. (2026). Colon Cancer Identification Using Deep Learning Techniques. International Journal of Creative Research Thoughts, 14(4), a339-a346. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046
MLA — 9th edition
V.Tharnitha, et al. "Colon Cancer Identification Using Deep Learning Techniques." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. a339-a346, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046.
Chicago — 17th, bibliography
V.Tharnitha, R.Vinodhini, and S.Sivadharani. "Colon Cancer Identification Using Deep Learning Techniques." International Journal of Creative Research Thoughts 14, no. 4 (2026): a339-a346. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046.
Harvard — author–date
V.Tharnitha, R.Vinodhini and S.Sivadharani (2026) 'Colon Cancer Identification Using Deep Learning Techniques', International Journal of Creative Research Thoughts, 14(4), pp. a339-a346. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046
IEEE — numbered reference
V.Tharnitha, R.Vinodhini and S.Sivadharani, "Colon Cancer Identification Using Deep Learning Techniques," IJCRT, vol. 14, no. 4, pp. a339-a346, Apr. 2026.
Vancouver — biomedical
V.Tharnitha, R.Vinodhini, S.Sivadharani. Colon Cancer Identification Using Deep Learning Techniques. IJCRT. 2026 Apr;14(4):a339-a346.
AMA — 11th edition
V.Tharnitha, R.Vinodhini, S.Sivadharani. Colon Cancer Identification Using Deep Learning Techniques. IJCRT. 2026;14(4):a339-a346. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604046,
author = {V.Tharnitha and R.Vinodhini and S.Sivadharani},
title = {Colon Cancer Identification Using Deep Learning Techniques},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {a339-a346},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - V.Tharnitha
AU - R.Vinodhini
AU - S.Sivadharani
TI - Colon Cancer Identification Using Deep Learning Techniques
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046
SP - a339-a346
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : a339-a346
Article Information
- Pages
- a339-a346
- Published
- April 2026
- Registration ID
- IJCRT_303628
- Published Paper ID
- IJCRT2604046
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- chennai, Tamil Nadu, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 171
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604046
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604046.pdf
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International Journal of Creative Research Thoughts
Published by IJCRT Publication
2320-2882
ISSN
9.17
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2013
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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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