ITK-SNAP An interactive medical image segmentation tool to meet the need for expert-guided segmentation of complex medical images

被引：107

作者：

Yushkevich, Paul A. ^{[1
]}

Gerig, Guido ^{[2
]}

机构：

[1] Univ Penn, Dept Radiol, Penn Image Comp & Sci Lab, Philadelphia, PA 19104 USA

[2] NYU, Tandon Sch Engn, Dept Comp Sci & Engn, New York, NY 10003 USA

来源：

IEEE PULSE | 2017年 / 8卷 / 04期

基金：

美国国家卫生研究院;

关键词：

BREAST-CANCER RECURRENCE; ONCOTYPE DX;

D O I：

10.1109/MPUL.2017.2701493

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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. © 2017 IEEE.

引用

页码：54 / 57

页数：4

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