Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps

OBJECTIVES: To investigate the differentiation of premalignant from benign colorectal polyps detected by CT colonography using deep learning. METHODS: In this retrospective analysis of an average risk colorectal cancer screening sample, polyps of all size categories and morphologies were manually se...

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Detalles Bibliográficos
Autores principales: Wesp, Philipp, Grosu, Sergio, Graser, Anno, Maurus, Stefan, Schulz, Christian, Knösel, Thomas, Fabritius, Matthias P., Schachtner, Balthasar, Yeh, Benjamin M., Cyran, Clemens C., Ricke, Jens, Kazmierczak, Philipp M., Ingrisch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213389/
https://www.ncbi.nlm.nih.gov/pubmed/35083528
http://dx.doi.org/10.1007/s00330-021-08532-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213389/
https://www.ncbi.nlm.nih.gov/pubmed/35083528
http://dx.doi.org/10.1007/s00330-021-08532-2

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