An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning

SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susceptible to subjective factors, which considerably affects the accuracy and repeatability of lesion detection and anatomical localization. In this work, we design and implement an end-to-end multi-task...

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Detalles Bibliográficos
Autores principales: Huang, Kaibin, Huang, Shengyun, Chen, Guojing, Li, Xue, Li, Shawn, Liang, Ying, Gao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805554/
https://www.ncbi.nlm.nih.gov/pubmed/36416135
http://dx.doi.org/10.1093/bioinformatics/btac753

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805554/
https://www.ncbi.nlm.nih.gov/pubmed/36416135
http://dx.doi.org/10.1093/bioinformatics/btac753

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