ISSN2320-2882
Impact Factor9.17
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ESTD2013
Peer ReviewTransparent
AccessOpen
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Paper Title
Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework
Authors
Dhana Lakshmi Lanka , Sayyad Aafrin , Raavi Lakshmi Sowjanya , Princy Dayana Edulamudi , Shaik Saida
Keywords
CT Scan Analysis, Deep Learning, Kidney Tumor Detection, 3D CNN, Transformer Networks, Fuzzy Neural Network, MobileNet, DenseNet121, Tumor Classification, Feature Extraction, Accuracy.
Abstract
It is a highly sensitive task in the treatment of the early stages and the provision of the treatment as the CT scan showed the presence of the tumors in the kidneys. Human hands can screen and categorize kidney tumors, therefore, subject to errors and wastage of time, computerized systems should be incorporated to make sure that the process has been improved to be effective and to achieve better results. The article recommends an efficient architecture of the deep learning i.e. the integration of the Transformer networks with the 3D Convolutional Neural Networks (CNNs) to increase the percentage of kidney tumor detection. The system rests upon the diversity of the available trained models i.e., DenseNet121, ResNet101, VGG19, InceptionV3, GoogleNet and MobileNet, to get features. In order to achieve classification, Fuzzy Neural Network (FNN), and Generalized Fuzzy Neural Network (GFNN) is implemented in a way that it could have been categorized in four classification niche; Cyst, Normal, Stone and tumor under which it would have been classified in four categories.
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IJCRT — journal style
"Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.e986-e992, April 2026, Available :https://ijcrt.org/papers/IJCRT2604584.pdf
APA — 7th edition
Lanka, D. L., Aafrin, S., Sowjanya, R. L., Edulamudi, P. D., & Saida, S. (2026). Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework. International Journal of Creative Research Thoughts, 14(4), e986-e992. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584
MLA — 9th edition
Lanka, Dhana Lakshmi, et al. "Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. e986-e992, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584.
Chicago — 17th, bibliography
Lanka, Dhana Lakshmi, et al. "Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework." International Journal of Creative Research Thoughts 14, no. 4 (2026): e986-e992. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584.
Harvard — author–date
Lanka, D.L. et al. (2026) 'Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework', International Journal of Creative Research Thoughts, 14(4), pp. e986-e992. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584
IEEE — numbered reference
D. L. Lanka, S. Aafrin, R. L. Sowjanya, P. D. Edulamudi and S. Saida, "Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework," IJCRT, vol. 14, no. 4, pp. e986-e992, Apr. 2026.
Vancouver — biomedical
Lanka DL, Aafrin S, Sowjanya RL, Edulamudi PD, Saida S. Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework. IJCRT. 2026 Apr;14(4):e986-e992.
AMA — 11th edition
Lanka DL, Aafrin S, Sowjanya RL, Edulamudi PD, Saida S. Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework. IJCRT. 2026;14(4):e986-e992. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604584,
author = {Dhana Lakshmi Lanka and Sayyad Aafrin and Raavi Lakshmi Sowjanya and Princy Dayana Edulamudi and Shaik Saida},
title = {Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {e986-e992},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Lanka, Dhana Lakshmi
AU - Aafrin, Sayyad
AU - Sowjanya, Raavi Lakshmi
AU - Edulamudi, Princy Dayana
AU - Saida, Shaik
TI - Kidney Tumor Identification from CT Images Using an Integrated 3D CNN and Transformer-Based Framework
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=IJCRT2604584
SP - e986-e992
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : e986-e992
Article Information
- Pages
- e986-e992
- Published
- April 2026
- Registration ID
- IJCRT_305452
- Published Paper ID
- IJCRT2604584
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Gudivada, Andhra Pradesh, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 119
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604584
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604584.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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