Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology

Digital histopathology poses several challenges such as label noise, class imbalance, limited availability of labelled data, and several latent biases to deep learning, negatively influencing transparency, reproducibility, and classification performance. In particular, biases are well known to cause...

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Detalles Bibliográficos
Autores principales: Sauter, Daniel, Lodde, Georg, Nensa, Felix, Schadendorf, Dirk, Livingstone, Elisabeth, Kukuk, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319808/
https://www.ncbi.nlm.nih.gov/pubmed/35891026
http://dx.doi.org/10.3390/s22145346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319808/
https://www.ncbi.nlm.nih.gov/pubmed/35891026
http://dx.doi.org/10.3390/s22145346

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