Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer

OBJECTIVE: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) in detecting liver metastasis with that of radiologists. MATERIALS AND METHODS: This clinical retrospective study used 4386-slice computed tomography (CT) images and labels from a training cohort (502...

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Detalles Bibliográficos
Autores principales: Kim, Kiwook, Kim, Sungwon, Han, Kyunghwa, Bae, Heejin, Shin, Jaeseung, Lim, Joon Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Gastrointestinal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154788/
https://www.ncbi.nlm.nih.gov/pubmed/33686820
http://dx.doi.org/10.3348/kjr.2020.0447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154788/
https://www.ncbi.nlm.nih.gov/pubmed/33686820
http://dx.doi.org/10.3348/kjr.2020.0447

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