AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features

Cervical cancer is the fourth most common cancer in the world. Whole-slide images (WSIs) are an important standard for the diagnosis of cervical cancer. Missed diagnoses and misdiagnoses often occur due to the high similarity in pathological cervical images, the large number of readings, the long re...

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Detalles Bibliográficos
Autores principales: Huang, Pan, Tan, Xiaoheng, Chen, Chen, Lv, Xiaoyi, Li, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795214/
https://www.ncbi.nlm.nih.gov/pubmed/33375508
http://dx.doi.org/10.3390/s21010122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795214/
https://www.ncbi.nlm.nih.gov/pubmed/33375508
http://dx.doi.org/10.3390/s21010122

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