Performance Improvement of Breast Cancer Diagnosis Using Artificial Intelligence and Image Processing Techniques-Reference-Cited by-同舟云学术

Performance Improvement of Breast Cancer Diagnosis Using Artificial Intelligence and Image Processing Techniques

Published:2023 Issue: Volume: Page:552-564
ISSN:2367-4512
Container-title:Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023
language:
Short-container-title:

Author:

Sameh Rasha,Elnaghi Basem E.,Ghuneim Atef,Magdy Ahmed

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43247-7_48

Reference36 articles.

1. Mohamed, N.A.E.-R.: Breast cancer risk detection using digital infrared thermal images. Int. J. Bioinform. Biomed. Eng. (2015)

2. Sung, H., et al.: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Cancer J. Clinicians 71, 209–249, February 2021

3. Sadoughi, F., Kazemy, Z., Hamedan, F., Owji, L., Rahmanikatigari, M., Azadboni, T.T.: Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review. Breast Cancer Targets Therapy 10, 219 (2018)

4. Zuluaga-Gomez, J., Zerhouni, N., Al Masry, Z., Devalland, C., Varnier, C.: A survey of breast cancer screening techniques: thermography and electrical impedance tomography. J. Med. Eng. Technol. 43, 305–322 (2019)

5. Morales-Cervantes, A., et al. An automated method for the evaluation of breast cancer using infrared thermography. EXCLI J. 17:Doc989 (2018). ISSN 1611-2156

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Feature Selection and HyperparameterOptimization Techniques for Breast Cancer Detection on thermograms Images;2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2023-11-21