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Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.
Zhou, Jinghao; Yan, Zhennan; Lasio, Giovanni; Huang, Junzhou; Zhang, Baoshe; Sharma, Navesh; Prado, Karl; D'Souza, Warren.
Affiliation
  • Zhou J; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: jzhou@umm.edu.
  • Yan Z; Department of Computer Science, Rutgers, The State University of New Jersey, NJ, USA.
  • Lasio G; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Huang J; Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA.
  • Zhang B; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Sharma N; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Prado K; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
  • D'Souza W; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
Comput Med Imaging Graph ; 46 Pt 1: 47-55, 2015 Dec.
Article in En | MEDLINE | ID: mdl-26256737

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Pattern Recognition, Automated / Tomography, X-Ray Computed / Lung Type of study: Qualitative_research Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Pattern Recognition, Automated / Tomography, X-Ray Computed / Lung Type of study: Qualitative_research Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article Country of publication: United States