Impact of H&E Stain Normalization on Deep Learning Models in Cancer Image Classification: Performance, Complexity, and Trade-Offs

SIMPLE SUMMARY: This research study investigates the impact of stain normalization on deep learning models for cancer image classification by evaluating model performance, complexity, and trade-offs. The primary objective is to assess the improvement in accuracy, performance, and resource optimizati...

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Detalles Bibliográficos
Autores principales: Madusanka, Nuwan, Jayalath, Pramudini, Fernando, Dileepa, Yasakethu, Lasith, Lee, Byeong-Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452714/
https://www.ncbi.nlm.nih.gov/pubmed/37627172
http://dx.doi.org/10.3390/cancers15164144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452714/
https://www.ncbi.nlm.nih.gov/pubmed/37627172
http://dx.doi.org/10.3390/cancers15164144

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