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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

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