Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics

Author:

Isidoro Douglas1,Carneiro Cláudia2,Resende Mariana2,Medeiros Fátima3,Ushizima Daniela4,Bianchi Andrea1

Affiliation:

1. Computer Department, Universidade Federal de Ouro Preto, Ouro Preto, Brazil, --- Select a Country ---

2. Clinical Analysis Department, Universidade Federal de Ouro Preto, Ouro Preto, Brazil, --- Select a Country ---

3. Teleinformatics Engineering Department, Universidade Federal do Ceará, Ceará, Brazil, --- Select a Country ---

4. Lawrence Berkeley National Laboratory, Universidade de Berkeley, Califórnia, U.S.A., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 6 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. A lightweight xAI approach to cervical cancer classification;Medical & Biological Engineering & Computing;2024-03-20

2. CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework;Computer Methods and Programs in Biomedicine;2023-10

3. Cervical cell classification with deep-learning algorithms;Medical & Biological Engineering & Computing;2023-01-10

4. A Robust Deep Learning and Feature Fusion-based Multi-class Classification of Cervical Cells;2022 International Conference on Edge Computing and Applications (ICECAA);2022-10-13

5. A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification;Journal of Imaging;2021-07-09

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