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Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation

The goal of this study was to develop an automated method to segment breast masses on dynamic contrast-enhanced (DCE) magnetic resonance (MR) scans and to evaluate its potential for estimating tumor volume on pre- and postchemotherapy images and tumor change in response to treatment. A radiologist e...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Shi, Jiazheng, Sahiner, Berkman, Chan, Heang-Ping, Paramagul, Chintana, Hadjiiski, Lubomir M., Helvie, Mark, Chenevert, Thomas
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Association of Physicists in Medicine 2009
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2773457/
https://ncbi.nlm.nih.gov/pubmed/19994516
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3238101
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