Related references
Note: Only part of the references are listed.Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms
Yanjie Zhu et al.
JOURNAL OF DIGITAL IMAGING (2012)
Change in lung tumor volume as a biomarker of treatment response: a critical review of the evidence
P. D. Mozley et al.
ANNALS OF ONCOLOGY (2010)
Cancer Statistics, 2010
Ahmedin Jemal et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2010)
A Pilot Study of Volume Measurement as a Method of Tumor Response Evaluation to Aid Biomarker Development
Binsheng Zhao et al.
CLINICAL CANCER RESEARCH (2010)
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom
Marios A. Gavrielides et al.
OPTICS EXPRESS (2010)
Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non-Small Cell Lung Cancer
Binsheng Zhao et al.
RADIOLOGY (2009)
Segmentation of pulmonary nodules in thoracic CT scans: A region growing approach
Jamshid Dehmeshi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)
Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique
Jiahui Wang et al.
MEDICAL PHYSICS (2007)
Lung cancer: Computerized quantification of tumor response - Initial results
Binsheng Zhao et al.
RADIOLOGY (2006)
Computer-aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours
Ted W. Way et al.
MEDICAL PHYSICS (2006)
On measuring the change in size of pulmonary nodules
AP Reeves et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2006)
Segmentation of nodules on chest computed tomography for growth assessment
W Mullally et al.
MEDICAL PHYSICS (2004)
Lung image database consortium: Developing a resource for the medical imaging research community
SG Armato et al.
RADIOLOGY (2004)
Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images
WJ Kostis et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2003)
New guidelines to evaluate the response to treatment in solid tumors
F Duffaud et al.
BULLETIN DU CANCER (2000)
Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: Comparison with a density mask
HU Kauczor et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2000)
New guidelines to evaluate the response to treatment in solid Tumors
P Therasse et al.
JOURNAL OF THE NATIONAL CANCER INSTITUTE (2000)