Segmentation and Multi-Label Classification of Visual Cervical Pathology by Deep Neural Networks

Author:

Pavliuchenko MykhayloORCID,Pavliuchenko Ivan,Gordienko YuriORCID,Stirenko SergiiORCID

Publisher

Springer Nature Singapore

Reference33 articles.

1. Debelee TG, Kebede SR, Schwenker F, Shewarega ZM (2020) Deep learning in selected cancers’ image analysis-a survey. J Imag 6(11):121

2. Gupta A, Parveen A, Kumar A, Yadav P (2022) Advancement in deep learning methods for diagnosis and prognosis of cervical cancer. Curr Genom 23(4):234

3. International Agency for Research on Cancer (2023) World Health Organization: Arc cervical cancer image bank. https://screening.iarc.fr/cervicalimagebank.php. Accessed 04 March 2023

4. International Agency for Research on Cancer (2023) World Health Organization: Atlas of colposcopy: principles and practice. https://screening.iarc.fr/atlascolpodetail.php. Accessed 04 March 2023

5. Kaggle (2022) Intel and mobileodt cervical cancer screening, competition. https://www.kaggle.com/competitions/intel-mobileodt-cervical-cancer-screening. Accessed 04 March 2023

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