Breast Cancer Detection Based on UWB Dataset and Machine Learning

Author:

Mehdi Heba,Rabee Furkan

Publisher

Springer Nature Singapore

Reference25 articles.

1. Cokkinides, V., et al. (2005). American cancer society: Cancer facts and figures. American Cancer Society.

2. Kim, T., et al. (2008). A study of dielectric properties of fatty, malignant and fibro-glandular tissues in female human breast. In 2008 Asia-Pacific symposium on electromagnetic compatibility and 19th International Zurich symposium on electromagnetic compatibility. IEEE.

3. Nahalingam, K., & Sharma, S. K. (2011). An investigation on microwave breast cancer detection by ultra-wide bandwidth (UWB) microstrip slot antennas. In 2011 IEEE International symposium on antennas and propagation (APSURSI). IEEE.

4. Oliveira, B. L., et al. (2018). Diagnosing breast cancer with microwave technology: Remaining challenges and potential solutions with machine learning. Diagnostics, 8(2), 36.

5. Fatima, M., & Pasha, M. (2017). Survey of machine learning algorithms for disease diagnostic. Journal of Intelligent Learning Systems and Applications, 9(01), 1.

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