Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques

Author:

Wubineh Betelhem ZewduORCID,Rusiecki AndrzejORCID,Halawa KrzysztofORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Xia, M., Zhang, G., Mu, C., Guan, B., Wang, M.: Cervical cancer cell detection based on deep convolutional neural network. In: Chinese Control Conference, CCC, July 2020, pp. 6527–6532

2. Del Moral-Argumedo, M.J., Ochoa-Zezzati, C.A., Posada-Gómez, R., Aguilar-Lasserre, A.A.: A deep learning approach for automated cytoplasm and nuclei cervical segmentation. Biomed. Signal Process. Control 2023(81), 104483 (2022)

3. Youneszade, N., Marjani, M., Pei, C.P.: Deep learning in cervical cancer diagnosis: architecture, opportunities, and open research challenges. IEEE Access 2023(11), 6133–6149 (2022)

4. Alisha, S., Vinitha Panicker, J.: Cervical cell nuclei segmentation on pap smear images using deep learning technique. In: 2022 IEEE 3rd Global Conference for Advancement in Technology, GCAT 2022, pp. 1–5

5. Nguendo, Y.H.B., Tchinda, F.C.: Descriptive epidemiology of uterine cervix cancer at the medical oncology unit of the Yaoundé general hospital-Cameroon. GSC Biol. Pharmaceut. Sci. 9(1), 083–091 (2019)

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