A Review on Computational Methods for Breast Cancer Detection in Ultrasound Images Using Multi-Image Modalities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-023-10015-0.pdf
Reference120 articles.
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3. Khan SU, Islam N, Jan Z, Ud Din I, Rodrigues JJPC (2019) A novel deep learning based framework for the detection and classification of breast cancer using transfer learning”. Pattern Recognit Lett. 125:1–6. https://doi.org/10.1016/j.patrec.2019.03.022
4. Feng X et al (2019) Accurate prediction of neoadjuvant chemotherapy pathological complete remission (PCR) for the four sub-types of breast cancer. IEEE Access 7:134697–134706. https://doi.org/10.1109/ACCESS.2019.2941543
5. Gangeh MJ, Liu S, Tadayyon H, Czarnota GJ (2018) Computer-aided theragnosis based on tumor volumetric information in breast cancer. IEEE Trans Ultrason Ferroelectr Freq Control 65(8):1359–1369. https://doi.org/10.1109/TUFFC.2018.2839714
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