Omani researcher develops app for early detection of breast cancer

Muscat – An Omani researcher at Sultan Qaboos University has developed an app for early breast cancer detection based on thermography, deep learning and cloud computing.

The Self-Detection of Early Breast Cancer Application with Infrared Camera and Deep Learning project, led by study leader Dr. Mohammed Abdullah al Husaini, Engineer in the Technical Services Department at SQU, has received the latest edition of the National Research Award.

Husaini won the Young Researcher’s category in Information and Communication Technologies.

“Breast cancer is the leading cause of death in women around the world and is increasing in Omani society,” said Dr. Husaini. “Therefore, a new tool for early breast cancer detection based on thermography, deep learning and health applications on smartphones and cloud computing has been approved.”

The research team developed an intelligent app that uses a DMR-IR database and trains a deep learning network for early detection of breast cancer. The team also designed the application in a graphical user interface and connected it to the AirDroid application to send thermal images from the smartphone to the cloud and send the results back to the smartphone.

according to dr Husaini, after repeated experiments, the results of early detection of breast cancer showed high accuracy. The system’s recognition accuracy is 99.7 percent with an error margin of +- 0.18 percent.

The results also demonstrated the ability of artificial intelligence to detect early-stage breast cancer through artificial networks that the team developed specifically for this purpose, and the ability of small and inexpensive thermal imaging cameras to provide reliable results.

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dr Husain is confident that the research project will help raise community awareness of home self-care and reduce the need for surgical procedures, including amputations, if the disease can be detected in its early stages. Using this app also means avoiding the use of radiation equipment such as X-ray machines and creating an accurate and reliable database with the healthcare facilities concerned.

“This demonstrated the importance of using thermal imaging cameras, deep learning, cloud computing and smartphone health applications for early breast cancer detection.”

The design of the new artificial intelligence network took nearly a year, said Dr. Husaini, adding that all the equipment, research and studies were done at his own expense, which was very high.

On winning the 2022 National Research Award sponsored by the Ministry of Higher Education, Research and Innovation, Dr. Husaini: “The success I have achieved makes me proud of my abilities.”
The research team, which includes Dr. Mohammed al Husaini, Dr. Mohamed Hadi Habaebi, Dr. Teddy Surya Gunawan and Dr. Md Rafiqul Islam published his work in the MDPI journal.