Pancreatic Cancer Detection using deep learning for health care applications
- DOI
- 10.2991/978-94-6463-754-0_44How to use a DOI?
- Keywords
- CNN; pancreatic cancer; deep learning; embedded systems; Adam and SDG ptimizer
- Abstract
Convolutional Neural Network (CNN) deep learning model was designed and tailored to the specific cancer detection task, and the architecture is framed to accommodate the input data and the complexities of medical images. The integration of deep learning with embedded systems for healthcare applications is a novel and significant approach that can result in more effective and accessible diagnostic tools. The diverse and well-curated datasets containing pancreatic cancer medical images were collected, and the data were preprocessed for resizing, normalization, and augmentation to improve the model’s capacity for generalization. The preprocessed dataset was used to train the CNN model. The model is improved for efficiency by investigating model quantization, pruning, and other methods to decrease the model size without compromising performance since embedded systems have limited resources. By guaranteeing that the system satisfies latency requirements and retains accuracy, this facilitates rapid and on-the-spot decision-making, which is essential for healthcare applications. The suggested CNN model with Adam optimizer achieves the highest validation accuracy of 99.76%.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ahamed Rasool Madhina AU - G. Rohini AU - Glaret Subin AU - J. Arunnehru AU - P. Haja Syeddu Masooth PY - 2025 DA - 2025/06/30 TI - Pancreatic Cancer Detection using deep learning for health care applications BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 501 EP - 512 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_44 DO - 10.2991/978-94-6463-754-0_44 ID - Madhina2025 ER -