Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study

SIMPLE SUMMARY: In computer-assisted diagnostics for pancreatic cancer, attributes featuring irregular contours and indistinct boundaries on CT images present challenges in acquiring high-quality annotations. In response to this issue, we have devised an innovative self-supervised learning algorithm...

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Detalles Bibliográficos
Autores principales: Viriyasaranon, Thanaporn, Chun, Jung Won, Koh, Young Hwan, Cho, Jae Hee, Jung, Min Kyu, Kim, Seong-Hun, Kim, Hyo Jung, Lee, Woo Jin, Choi, Jang-Hwan, Woo, Sang Myung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340780/
https://www.ncbi.nlm.nih.gov/pubmed/37444502
http://dx.doi.org/10.3390/cancers15133392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340780/
https://www.ncbi.nlm.nih.gov/pubmed/37444502
http://dx.doi.org/10.3390/cancers15133392

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