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Utilizing deep learning for the real-time detection of breast cancer through thermography

Al Husaini, Mohammed Abdulla Salim and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2023) Utilizing deep learning for the real-time detection of breast cancer through thermography. In: 9th International Conference on Computer and Communication Engineering (ICCCE 2023), 5-16 August 2023, Kuala Lumpur, Malaysia.

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The prevention of breast cancer at an early stage is crucial for saving lives and reducing costs. Breast thermography, a complementary diagnostic technique, has shown promise in detecting breast tumors early. This research proposes a framework that leverages real-time thermography video streaming and deep learning models for the early detection of breast cancer. The framework, implemented in MATLAB 2019 on a standard Desktop with a thermal camera, captures high-quality real-time video streams, which are then used as input for classifying normal and abnormal breasts using deep convolutional neural network models, specifically Inception v3, Inception v4, and a modified Inception Mv4. The results demonstrate that the Inception Mv4 model, combined with real-time video streaming, effectively detects even the slightest temperature contrasts in breast tissue by generating a sequence of thermal images from different angles. The contrast is further improved by applying cooling gel to the breast area, resulting in an efficient image acquisition process and accurate detection. Additionally, the study reveals that a mere 0.1% increase in the temperature of the tumor surface area leads to an average improvement of 7% in detection and classification accuracy.

Item Type: Proceeding Paper (Plenary Papers)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering
Depositing User: Dr. Md. Rafiqul Islam
Date Deposited: 01 Nov 2023 11:44
Last Modified: 01 Nov 2023 11:44
URI: http://irep.iium.edu.my/id/eprint/107819

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