Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study

SIMPLE SUMMARY: Electronic cleansing (EC) is used for performing a virtual cleansing of the colon on CT colonography (CTC) images for colorectal cancer screening. However, current EC methods have limited accuracy, and traditional deep learning is of limited use in CTC. We evaluated the feasibility o...

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Detalles Bibliográficos
Autores principales: Tachibana, Rie, Näppi, Janne J., Hironaka, Toru, Yoshida, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454562/
https://www.ncbi.nlm.nih.gov/pubmed/36077662
http://dx.doi.org/10.3390/cancers14174125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454562/
https://www.ncbi.nlm.nih.gov/pubmed/36077662
http://dx.doi.org/10.3390/cancers14174125

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