Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer Screening via Deep Convolutional Neural Networks

SIMPLE SUMMARY: The soaring demand for endometrial cancer screening has exposed a huge shortage of cytopathologists worldwide. Deep learning algorithms, based on convolutional neural networks, have been successfully applied to the classification and segmentation of medical images. The aim was to est...

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Detalles Bibliográficos
Autores principales: Li, Qing, Wang, Ruijie, Xie, Zhonglin, Zhao, Lanbo, Wang, Yiran, Sun, Chao, Han, Lu, Liu, Yu, Hou, Huilian, Liu, Chen, Zhang, Guanjun, Shi, Guizhi, Zhong, Dexing, Li, Qiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454725/
https://www.ncbi.nlm.nih.gov/pubmed/36077646
http://dx.doi.org/10.3390/cancers14174109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454725/
https://www.ncbi.nlm.nih.gov/pubmed/36077646
http://dx.doi.org/10.3390/cancers14174109

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