Automatic Classification of Histopathology Images across Multiple Cancers Based on Heterogeneous Transfer Learning

Background: Current artificial intelligence (AI) in histopathology typically specializes on a single task, resulting in a heavy workload of collecting and labeling a sufficient number of images for each type of cancer. Heterogeneous transfer learning (HTL) is expected to alleviate the data bottlenec...

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Detalles Bibliográficos
Autores principales: Sun, Kai, Chen, Yushi, Bai, Bingqian, Gao, Yanhua, Xiao, Jiaying, Yu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093253/
https://www.ncbi.nlm.nih.gov/pubmed/37046497
http://dx.doi.org/10.3390/diagnostics13071277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093253/
https://www.ncbi.nlm.nih.gov/pubmed/37046497
http://dx.doi.org/10.3390/diagnostics13071277

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