Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan

BACKGROUND: Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related entity, but not on the clinical implication of th...

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Detalles Bibliográficos
Autores principales: Lee, Sangwoo, Choe, Eun Kyung, Kim, So Yeon, Kim, Hua Sun, Park, Kyu Joo, Kim, Dokyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495853/
https://www.ncbi.nlm.nih.gov/pubmed/32938394
http://dx.doi.org/10.1186/s12859-020-03686-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495853/
https://www.ncbi.nlm.nih.gov/pubmed/32938394
http://dx.doi.org/10.1186/s12859-020-03686-0

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