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Titel:

PET-CT based automated lung nodule detection.

Dokumenttyp:
Journal Article
Autor(en):
Zsoter, N; Bandi, P; Szabo, G; Toth, Z; Bundschuh, RA; Dinges, J; Papp, L
Abstract:
An automatic method is presented in order to detect lung nodules in PET-CT studies. Using the foreground and background mean ratio independently in every nodule, we can detect the region of the nodules properly. The size and intensity of the lesions do not affect the result of the algorithm, although size constraints are present in the final classification step. The CT image is also used to classify the found lesions built on lung segmentation. We also deal with those cases when nearby and simil...     »
Zeitschriftentitel:
Conf Proc IEEE Eng Med Biol Soc
Jahr:
2012
Band / Volume:
2012
Seitenangaben Beitrag:
4974-7
Sprache:
eng
Volltext / DOI:
doi:10.1109/EMBC.2012.6347109
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/23367044
Print-ISSN:
1557-170X
TUM Einrichtung:
Klinik und Poliklinik für Nuklearmedizin
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