TY - JOUR
T1 - ITK-SNAP
T2 - An Intractive Medical Image Segmentation Tool to Meet the Need for Expert-Guided Segmentation of Complex Medical Images
AU - Yushkevich, Paul A.
AU - Gerig, Guido
N1 - Funding Information:
Dozens of developers have contributed to ITK-SNAP over the past two decades. ITK-SNAP development is supported by the National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering grant R01 EB014146.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Imaging is a crucial tool in medicine and biomedical research. Magnetic resonance imaging (MRI), computational tomography (CT), proton emission tomography (PET), and ultrasound are routinely used not only to diagnose disease but also to plan and guide surgical interventions, track disease progression, measure the response of the body to treatment, and understand how genetic and environmental factors relate to anatomical and functional phenotypes.
AB - Imaging is a crucial tool in medicine and biomedical research. Magnetic resonance imaging (MRI), computational tomography (CT), proton emission tomography (PET), and ultrasound are routinely used not only to diagnose disease but also to plan and guide surgical interventions, track disease progression, measure the response of the body to treatment, and understand how genetic and environmental factors relate to anatomical and functional phenotypes.
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U2 - 10.1109/MPUL.2017.2701493
DO - 10.1109/MPUL.2017.2701493
M3 - Article
C2 - 28715317
AN - SCOPUS:85028956926
SN - 2154-2287
VL - 8
SP - 54
EP - 57
JO - IEEE Engineering in Medicine and Biology Magazine
JF - IEEE Engineering in Medicine and Biology Magazine
IS - 4
M1 - 7979667
ER -