Page 70 - AIH-1-3

Artificial Intelligence in Health

ORIGINAL RESEARCH ARTICLE
Innovative infrared imaging approach for

breast cancer screening: Integrating rotational
thermography and machine learning analysis

1†
Asok Bandyopadhyay * , Himanka S. Mondal , Bivas Dam ,
1†
2
Dipak C. Patranabis , and Barnali Pal 1
2
1 ICT&SERVICES Group, Centre for Development of Advanced Computing, Kolkata, West Bengal,
India
2 Department of Instrumentation and Electronics, Jadavpur University, Kolkata, West Bengal, India

Abstract

This paper presents a novel approach to breast cancer screening using infrared (IR)
imaging. This work encompasses four phases: Refining data collection, advancing
analysis methods, and enhancing feature extraction with machine learning. The
developed system employed a temperature-controlled chamber with rotational
thermography techniques to maintain consistent temperatures and capture high-
quality IR images and all possible subject views. The paper describes four key
experiments to detect breast cancer using IR imaging. The experiments involved the
† These authors contributed equally use of dynamic temperature-based data collection and a semi-circular arc movement
to this work.
to ensure precise imaging, keeping the object in focus. Initial experiments involved
*Corresponding author: the use of dynamic temperature-based data collection and a semi-circular arc
Asok Bandyopadhyay movement to ensure precise imaging focus. The final experiment incorporated a
(b_ashoke@hotmail.com)
semi-circular arc movement. For each subject, 32 thermal IR images were acquired,
Citation: Bandyopadhyay A, targeting one breast at a time while isolating the other with an IR-proof barrier. The
Mondal HS, Dam B, Patranabis DC,
Pal B. Innovative infrared imaging collected datasets were used for breast abnormality detection. The analyzed results
approach for breast cancer revealed that support vector machine and neural network algorithms achieved an
screening: Integrating rotational accuracy rate of 93.18%. The system’s installation at a hospital in India allowed for
thermography and machine
learning analysis. Artif Intell Health. real-world application and validation. The final study, which introduced a new IR
2024;1(3):64-79. imaging protocol, demonstrated improved results compared to earlier pilot studies.
doi: 10.36922/aih.3312 This method enhances the accuracy of distinguishing malignant and benign tumors,
Received: March 28, 2024 supporting early breast cancer detection and treatment. The proposed methodology
Accepted: May 24, 2024 addresses data collection and analysis challenges, leading to improved screening
efficiency and better patient outcomes.
Published Online: July 23, 2024
Copyright: © 2024 Author(s). Keywords: Infrared technology; Thermal imaging; Breast cancer screening; Dynamic
This is an Open-Access article
distributed under the terms of the data; Data collection methods; Rotational thermography
Creative Commons Attribution
License, permitting distribution,
and reproduction in any medium,
provided the original work is
properly cited. 1. Introduction
Publisher’s Note: AccScience Infrared (IR) technology-based imaging has emerged as a versatile medical imaging
Publishing remains neutral with technique, facilitating the capture of temperature distributions across the human body’s
regard to jurisdictional claims in
published maps and institutional surface. IR imaging has gained attention in medical diagnosis by complementing other
affiliations. imaging methods. Notably, studies have highlighted a correlation between malignant

Volume 1 Issue 3 (2024) 64 doi: 10.36922/aih.3312