Performance evaluation of optimized convolutional neural network mechanism in the detection and classification of ovarian cancer-Reference-Cited by-同舟云学术

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Performance evaluation of optimized convolutional neural network mechanism in the detection and classification of ovarian cancer

Published:2024-02-07 Issue:28 Volume:83 Page:71311-71334
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kongara Srinivasa Rao,Prakasha S.,Brindha A.,Pathak Sumit Kumar,Miya Javed,Taqui Syed Noeman,Almoallim Hesham S.,Alharbi Sulaiman Ali,Raghavan S. S.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18115-0.pdf

Reference35 articles.

1. Tian W et al (2022) “Extracellular vesicles in ovarian cancer chemoresistance, metastasis, and immune evasion”. Cell Death Dis 13(1). https://doi.org/10.1038/s41419-022-04510-8

2. Cox M, Kartikasari AER, Gorry PR, Flanagan KL, Plebanski M (2021) “Potential impact of human cytomegalovirus infection on immunity to ovarian tumours and cancer progression”. Biomedicines 9(4). https://doi.org/10.3390/biomedicines9040351

3. Akter S et al (2022) “Recent advances in ovarian cancer: therapeutic strategies, potential biomarkers, and technological improvements”. Cells 11(4). https://doi.org/10.3390/cells11040650

4. Zhao G et al (2021) EIF5A2 controls ovarian tumor growth and metastasis by promoting epithelial to mesenchymal transition via the TGFβ pathway. Cell Biosci 11(1):70. https://doi.org/10.1186/s13578-021-00578-5

5. Osborn G et al (2022) Macrophages in ovarian cancer and their interactions with monoclonal antibody therapies. Clin Exp Immunol 209(1):4–21. https://doi.org/10.1093/cei/uxab020

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. New Trends in Ovarian Cancer Diagnosis Using Deep Learning: A Systematic Review;IEEE Access;2024

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