Diagnosis of Ovarian Cancer Using Convolutional Neural Network and Attention Mechanism
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1488-9_41
Reference11 articles.
1. Taleb N, Mehmood S, Zubair M, Naseer I, Mago B, Nasir MU (2022) Ovary cancer diagnosing empowered with machine learning. In: 2022 international conference on business analytics for technology and security (ICBATS). IEEE, pp 1–6
2. Yue Z, Sun C, Chen F, Zhang Y, Xu W, Shabbir S, Zou L et al (2021) Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis. Biomed Opt Express 12(5):2559–2574
3. Lu M, Fan Z, Xu B, Chen L, Zheng Z, Li J, Znati T, Mi Q, Jiang J (2020) Using machine learning to predict ovarian cancer. Int J Med Inf 141:104195
4. Kim M, Chen C, Wang P, Mulvey JJ, Yang Y, Wun C, Antman-Passig M et al (2022) Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning. Nat Biomed Eng 6(3):267–275
5. Juwono FH, Wong WK, Pek HT, Sivakumar S, Acula DD (2022) Ovarian cancer detection using optimized machine learning models with adaptive differential evolution. Biomed Signal Process Control 77:103785
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