Multiclass classification of whole‐body scintigraphic images using a self‐defined convolutional neural network with attention modules

PURPOSE: A self‐defined convolutional neural network is developed to automatically classify whole‐body scintigraphic images of concern (i.e., the normal, metastasis, arthritis, and thyroid carcinoma), automatically detecting diseases with whole‐body bone scintigraphy. METHODS: A set of parameter tra...

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Detalles Bibliográficos
Autores principales: Lin, Qiang, Cao, Chuangui, Li, Tongtong, Cao, Yongchun, Man, Zhengxing, Wang, Haijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135133/
https://www.ncbi.nlm.nih.gov/pubmed/34455613
http://dx.doi.org/10.1002/mp.15196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135133/
https://www.ncbi.nlm.nih.gov/pubmed/34455613
http://dx.doi.org/10.1002/mp.15196

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