User: Guest  Login
Title:

PET-CT based automated lung nodule detection.

Document type:
Journal Article
Author(s):
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...     »
Journal title abbreviation:
Conf Proc IEEE Eng Med Biol Soc
Year:
2012
Journal volume:
2012
Pages contribution:
4974-7
Language:
eng
Fulltext / DOI:
doi:10.1109/EMBC.2012.6347109
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/23367044
Print-ISSN:
1557-170X
TUM Institution:
Klinik und Poliklinik für Nuklearmedizin
 BibTeX