An improved multi-scale gradient generative adversarial network for enhancing classification of colorectal cancer histological images

INTRODUCTION: Deep learning-based solutions for histological image classification have gained attention in recent years due to their potential for objective evaluation of histological images. However, these methods often require a large number of expert annotations, which are both time-consuming and...

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Detalles Bibliográficos
Autores principales: Jiang, Liwen, Huang, Shuting, Luo, Chaofan, Zhang, Jiangyu, Chen, Wenjing, Liu, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679330/
https://www.ncbi.nlm.nih.gov/pubmed/38023227
http://dx.doi.org/10.3389/fonc.2023.1240645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679330/
https://www.ncbi.nlm.nih.gov/pubmed/38023227
http://dx.doi.org/10.3389/fonc.2023.1240645

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