Citation :

Sangeeta Parshionikar, Vijaya Babu Burra, Debnath Bhattacharyya, "Smart Breast Cancer Screening: AI-Powered Thermal Imaging for Rural Healthcare," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 3, pp. 1-10, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I3P101

Abstract

Breast Cancer is the most predominant among all types of cancers and the leading cause of death not only in India but worldwide also. The scenario is worse in rural areas. This is due to the fact that women in rural areas are not aware of breast cancer symptoms, its adverse effects, and its causes. This results in the detection of breast cancer at an advanced stage. Also, the medical facility is not easily accessible to them. Subsequently, this results in an increase in mortality rate. Hence, there is an urgent need to have a cost-effective and efficient smart healthcare system for the detection and monitoring of Breast cancer in rural women. In this research work, a smart breast cancer detection system, especially useful to remotely located people, is proposed. The proposed system makes use of infrared thermal images for the detection of breast cancer. The system can be deployed in the primary health center of every village to provide the facility to remotely located people. With the AI technology, data from the primary health center is uploaded to the cloud for classification. An enhanced multi-scale deep convolutional capsule neural network classifies and detects the presence or absence of a cancer tumor, and sends information back to the health center, along with the treatment procedure and the availability of the nearest cancer center. A full-stack web application is developed to evaluate its practical application. This application aims to bring AI-driven breast cancer detection to remote villages, enhancing healthcare accessibility in underserved areas. The system uses Node.js for the backend, MongoDB for data management, and React with the ShadCN UI library for the frontend, providing a seamless user experience.

Keywords

Artificial Intelligence, Breast Cancer, Deep learning model, Healthcare system, Infrared Images, Remote monitoring.

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