Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

Due to acromegaly’s insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new automatic diagnosis and severity-classification m...

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Detalles Bibliográficos
Autores principales: Kong, Yanguo, Kong, Xiangyi, He, Cheng, Liu, Changsong, Wang, Liting, Su, Lijuan, Gao, Jun, Guo, Qi, Cheng, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333291/
https://www.ncbi.nlm.nih.gov/pubmed/32620135
http://dx.doi.org/10.1186/s13045-020-00925-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333291/
https://www.ncbi.nlm.nih.gov/pubmed/32620135
http://dx.doi.org/10.1186/s13045-020-00925-y

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