OncoTREAT: a software assistant for cancer therapy monitoring
暂无分享,去创建一个
Heinz-Otto Peitgen | Jan-Martin Kuhnigk | Volker Dicken | Dag Wormanns | Stefan Krass | Lars Bornemann | Hans-Christian Bauknecht | Hoen-oh Shin | Volker Diehl | Michael Fabel | Stefan A. Meier | Oliver Kress | H. Peitgen | V. Dicken | D. Wormanns | H. Bauknecht | L. Bornemann | J. Kuhnigk | S. Krass | M. Fabel | V. Diehl | Hoen-oh Shin | O. Kress | S. Meier
[1] Akinobu Shimizu,et al. Proposal of computer-aided detection system for three dimensional CT images of liver cancer , 2005 .
[2] J M Bland,et al. Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .
[3] Dorin Comaniciu,et al. Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT , 2005, IEEE Transactions on Medical Imaging.
[4] M. van Glabbeke,et al. New guidelines to evaluate the response to treatment in solid tumors , 2000, Journal of the National Cancer Institute.
[5] Heinz-Otto Peitgen,et al. Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT part 2. Therapy monitoring of pulmonary metastases. , 2005, Radiographics : a review publication of the Radiological Society of North America, Inc.
[6] H-O Peitgen,et al. [Computer assistance in clinical image-based diagnosis and therapy: a challenge for German research]. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.
[7] Françoise J. Prêteux,et al. 3D Automated Lung Nodule Segmentation in HRCT , 2003, MICCAI.
[8] R Leppek,et al. [Virtual organization in the digital age of radiology - principle and solution for radiologic research?]. , 2003, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.
[9] Bernhard Preim,et al. Pre-operative segmentation of neck CT datasets for the planning of neck dissections , 2006, SPIE Medical Imaging.
[10] L. Broemeling,et al. Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[11] D. Altman,et al. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.
[12] B. Stewart,et al. World Cancer Report , 2003 .
[13] Berthold B. Wein,et al. Virtuelle Organisation im digitalen Zeitalter der Radiologie - Prinzip und Lösung für die radiologische Forschung?∗ , 2003 .
[14] Margrit Betke,et al. Small pulmonary nodules: volume measurement at chest CT--phantom study. , 2003, Radiology.
[15] A. Beckett,et al. AKUFO AND IBARAPA. , 1965, Lancet.
[16] M Van Glabbeke,et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. , 2000, Journal of the National Cancer Institute.
[17] Heinz-Otto Peitgen,et al. Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans , 2006, IEEE Transactions on Medical Imaging.