Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases

BACKGROUND: We developed models for tumor segmentation to automate the assessment of total tumor volume (TTV) in patients with colorectal liver metastases (CRLM). METHODS: In this prospective cohort study, pre- and post-systemic treatment computed tomography (CT) scans of 259 patients with initially...

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Detalles Bibliográficos
Autores principales: Wesdorp, Nina J., Zeeuw, J. Michiel, Postma, Sam C. J., Roor, Joran, van Waesberghe, Jan Hein T. M., van den Bergh, Janneke E., Nota, Irene M., Moos, Shira, Kemna, Ruby, Vadakkumpadan, Fijoy, Ambrozic, Courtney, van Dieren, Susan, van Amerongen, Martinus J., Chapelle, Thiery, Engelbrecht, Marc R. W., Gerhards, Michael F., Grunhagen, Dirk, van Gulik, Thomas M., Hermans, John J., de Jong, Koert P., Klaase, Joost M., Liem, Mike S. L., van Lienden, Krijn P., Molenaar, I. Quintus, Patijn, Gijs A., Rijken, Arjen M., Ruers, Theo M., Verhoef, Cornelis, de Wilt, Johannes H. W., Marquering, Henk A., Stoker, Jaap, Swijnenburg, Rutger-Jan, Punt, Cornelis J. A., Huiskens, Joost, Kazemier, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692044/
https://www.ncbi.nlm.nih.gov/pubmed/38038829
http://dx.doi.org/10.1186/s41747-023-00383-4

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