Clinical evaluation of semi-automatic landmark-based lesion tracking software for CT-scans

BACKGROUND: To evaluate a semi-automatic landmark-based lesion tracking software enabling navigation between RECIST lesions in baseline and follow-up CT-scans. METHODS: The software automatically detects 44 stable anatomical landmarks in each thoraco/abdominal/pelvic CT-scan, sets up a patient speci...

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Detalhes bibliográficos
Main Authors: Dankerl, Peter, Cavallaro, Alexander, Dietzel, Matthias, Tsymbal, Alexey, Kramer, Martin, Seifert, Sascha, Uder, Michael, Hammon, Matthias
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2014
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4212533/
https://ncbi.nlm.nih.gov/pubmed/25609496
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1470-7330-14-6
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