Disease Prediction Based On Medical Images Using Deep Learning

DOI

10.2991/978-94-6463-471-6_24How to use a DOI?

Keywords

Disease prediction; Medical Images; Deep Learning; Convolutional Neural Networks (CNN); Xception

Abstract

Disease prediction based on medical images is a crucial area of research in healthcare. This study compared two Deep Learning methodologies through a comparative analysis: Convolutional Neural Networks (CNN) and Xception for disease prediction using a dataset of Medical Images. The dataset consists of total 5000 images to train and evaluate both CNN and Xception models and the evaluation metrics include Accuracy, Precision, F1-Score, and Recall. Our findings showed that Xception outperformed CNN in all these metrics, indicating its superior ability to accurately predict diseases from medical images. Additionally, we classified the levels of disease risk according to the models’ predictions. The risk levels were classified as low, moderate, and high, allowing for a better understanding of the potential severity of the diseases. Additionally, we proposed further steps that could be taken based on the disease risk level predictions. These measures encompassed dietary adjustments and precautionary measures aimed at mitigating individuals’ risk of developing the diseases. Moreover, we discussed potential treatment methods that could be pursued depending on the disease predictions, providing a comprehensive approach to disease prevention and management.

Copyright

© 2024 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.

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TY  - CONF
AU  - Kasarapu Ramani
AU  - Ganesh Sushma Sree
AU  - Boya Sai Priya
AU  - Battamdoddi Sampurna
AU  - Karnati Shashi Vardhan Reddy
PY  - 2024
DA  - 2024/07/30
TI  - Disease Prediction Based On Medical Images Using Deep Learning
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 242
EP  - 252
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_24
DO  - 10.2991/978-94-6463-471-6_24
ID  - Ramani2024
ER  -