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Early Detection of disease recurrence in follow up of breast cancer patients using mathematical models implemented as CRACTES
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SYSNO ASEP 0506803 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title Early Detection of disease recurrence in follow up of breast cancer patients using mathematical models implemented as CRACTES Author(s) Pecen, Ladislav (UIVT-O) RID, SAI, ORCID
Topolčan, O. (CZ)
Kučera, R. (CZ)
Novák, J. (CZ)
Jiřina jr., M. (CZ)
Eben, Kryštof (UIVT-O) SAI, RID, ORCIDSource Title New Zealand Breast Cancer Symposium 2017. Abstracts Book. - Auckland, 2017 - ISBN 978-1-927184-46-2 Number of pages 2 s. Action NZBCS 2017. New Zealand Breast Cancer Symposium Event date 12.11.2017 - 14.11.2017 VEvent location Auckland Country NZ - New Zealand Event type WRD Language eng - English Country NZ - New Zealand Keywords breast cancer ; mathematical model ; early detection of recurrence Annotation The main task for which the software CRACTES is useful, is early diagnosis of the recurrence of tumour illness and the most probable location of distant metastasis. The examination of markers may be a warning signal, but due to non-specific reasons, it also may be a false alarm. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2020
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