Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4

• Main Authors: Al Husaini, Mohammed Abdulla Salim, Habaebi, Mohamed Hadi, Gunawan, Teddy Surya, Islam, Md. Rafiqul, Elsheikh, Elfatih A. A., Suliman, F.M.
• Format: Article
• Language: English
• Published: Springer Nature 2021
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/91384/1/Husaini2021_Article_Thermal-basedEarlyBreastCancer.pdf; http://irep.iium.edu.my/91384/; https://www.springer.com/journal/521; https://doi.org/10.1007/s00521-021-06372-1
• Institution: Universiti Islam Antarabangsa Malaysia

Breast cancer is one of the most significant causes of death for women around the world. Breast thermography supported by deep convolutional neural networks is expected to contribute significantly to early detection and facilitate treatment at an early stage. The goal of this study is to investiga...