Pancreatic Cancer Detection Using Deep Learning

Surasani Akhila, G. N. Swamy, Sudabattula Sahithi, Shaik Faheem, Jogi Rajesh

2025

Abstract

Pancreatic cancer the most lethal malignancy remains difficult to detect in early stages due to a lack of specific symptoms in unique tumor morphology. Deep learning, specifically with convolutional neural networks (CNNs), has demonstrated potential in increasing diagnostic accuracy and facilitating early detection in medical imaging. The aim of this research is to implement Deep learning algorithms for the detection of pancreatic cancer using MATLAB. It also illustrates how transfer learning and multimodal image fusion leads to greater improvement over the proposed model, particularly in scenarios with limited data. MATLAB's Deep Learning Toolbox and Image Processing Toolbox are used to organize the processing of the images, the extraction of the features, and the training of the models.

Paper Citation

in Harvard Style

Akhila S., Swamy G., Sahithi S., Faheem S. and Rajesh J. (2025). Pancreatic Cancer Detection Using Deep Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 519-524. DOI: 10.5220/0013932300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Surasani Akhila and G. Swamy and Sudabattula Sahithi and Shaik Faheem and Jogi Rajesh},
title={Pancreatic Cancer Detection Using Deep Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={519-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013932300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Pancreatic Cancer Detection Using Deep Learning
SN - 978-989-758-777-1
AU - Akhila S.
AU - Swamy G.
AU - Sahithi S.
AU - Faheem S.
AU - Rajesh J.
PY - 2025
SP - 519
EP - 524
DO - 10.5220/0013932300004919
PB - SciTePress