Quantitative Autofluorescence Imaging Reveals the Potential for Cervical Cancer Detection-Reference-Cited by-同舟云学术

Quantitative Autofluorescence Imaging Reveals the Potential for Cervical Cancer Detection

Published:2021-09-05 Issue: Volume: Page:483-493
ISSN:2194-5357
Container-title:Computational Intelligence in Pattern Recognition
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Author:

Adhikary Shreya,Das Seema,Naskar Tapan Kumar,Maity Santi P.,Barui Ananya

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2543-5_41

Reference18 articles.

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3. Combs, C.A.: Fluorescence microscopy: a concise guide to current imaging methods. Curr. Protoc. Neurosci. 50(1), 2.1.1–2.1.14 (2010). https://doi.org/10.1002/0471142301.ns0201s50.

4. Chankong, T., Theera-Umpon, N., Auephanwiriyakul, S.: Automatic cervical cell segmentation and classification in Pap smears. Comput. Methods Programs Biomed. 113(2), 539–556 (2014). https://doi.org/10.1016/j.cmpb.2013.12.012

5. Bora, K., Chowdhury, M., Mahanta, L.B., Kundu, M.K., Das, A.K.: Automated classification of Pap smear images to detect cervical dysplasia. Comput. Methods Programs Biomed. 138, 31–47 (2017). https://doi.org/10.1016/j.cmpb.2016.10.001

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