Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis

BACKGROUND: The lack of explanations for the decisions made by deep learning algorithms has hampered their acceptance by the clinical community despite highly accurate results on multiple problems. Attribution methods explaining deep learning models have been tested on medical imaging problems. The...

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Detalles Bibliográficos
Autores principales: Singh, Amitojdeep, Jothi Balaji, Janarthanam, Rasheed, Mohammed Abdul, Jayakumar, Varadharajan, Raman, Rajiv, Lakshminarayanan, Vasudevan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219310/
https://www.ncbi.nlm.nih.gov/pubmed/34177258
http://dx.doi.org/10.2147/OPTH.S312236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219310/
https://www.ncbi.nlm.nih.gov/pubmed/34177258
http://dx.doi.org/10.2147/OPTH.S312236

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