Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
ITK-SNAP: An Intractive Medical Image Segmentation Tool to Meet the Need for Expert-Guided Segmentation of Complex Medical Images
148
Zitationen
2
Autoren
2017
Jahr
Abstract
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.
Ähnliche Arbeiten
A Computational Approach to Edge Detection
1986 · 28.973 Zit.
Textural Features for Image Classification
1973 · 22.396 Zit.
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
2002 · 16.722 Zit.
Normalized cuts and image segmentation
2000 · 15.663 Zit.
Nonlinear total variation based noise removal algorithms
1992 · 15.596 Zit.