Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Standard
Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images. / Conrad-Hansen, Lars A; de Bruijne, Marleen; Lauze, François; Tanko, Laszlo B; Nielsen, Mads.
Computer Vision for Biomedical Image Applications. Springer Science+Business Media, 2005. s. 409-418.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Harvard
Conrad-Hansen, LA, de Bruijne, M, Lauze, F, Tanko, LB & Nielsen, M 2005, Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images. i Computer Vision for Biomedical Image Applications. Springer Science+Business Media, s. 409-418.
APA
Conrad-Hansen, L. A., de Bruijne, M., Lauze, F., Tanko, L. B., & Nielsen, M. (2005). Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images. I Computer Vision for Biomedical Image Applications (s. 409-418). Springer Science+Business Media.
Vancouver
Conrad-Hansen LA, de Bruijne M, Lauze F, Tanko LB, Nielsen M. Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images. I Computer Vision for Biomedical Image Applications. Springer Science+Business Media. 2005. s. 409-418
Author
Bibtex
@inbook{66da6385f0164953bdadf952f8b0ee1f,
title = "Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images",
author = "Conrad-Hansen, {Lars A} and {de Bruijne}, Marleen and Fran{\c c}ois Lauze and Tanko, {Laszlo B} and Mads Nielsen",
year = "2005",
language = "English",
pages = "409--418",
booktitle = "Computer Vision for Biomedical Image Applications",
publisher = "Springer Science+Business Media",
address = "Singapore",
}
RIS
TY - CHAP
T1 - Quantizing calcification in the lumbar aorta on 2-D lateral X-ray images
AU - Conrad-Hansen, Lars A
AU - de Bruijne, Marleen
AU - Lauze, François
AU - Tanko, Laszlo B
AU - Nielsen, Mads
PY - 2005
Y1 - 2005
M3 - Book chapter
SP - 409
EP - 418
BT - Computer Vision for Biomedical Image Applications
PB - Springer Science+Business Media
ER -
ID: 108652602