Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging
作者： Thomas Perrin , Abhishek Midya , Rikiya Yamashita , Jayasree Chakraborty , Tome Saidon
DOI: 10.1007/S00261-018-1600-6
关键词:
摘要: … liver malignancies seen at our institution, we hypothesized that reproducible radiomic features could be identified for liver … ), or liver metastasis (with pathologic report of the liver tumor …
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Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen, Local Binary Patterns for Still Images Springer, London. pp. 13- 47 ,(2011) , 10.1007/978-0-85729-748-8_2
Eran Sadot, Amber L. Simpson, Richard K. G. Do, Mithat Gonen, Jinru Shia, Peter J. Allen, Michael I. D’Angelica, Ronald P. DeMatteo, T. Peter Kingham, William R. Jarnagin, Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes PLOS ONE. ,vol. 10, ,(2015) , 10.1371/JOURNAL.PONE.0132953
Balaji Ganeshan, Sandra Abaleke, Rupert C.D. Young, Christopher R. Chatwin, Kenneth A. Miles, Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage Cancer Imaging. ,vol. 10, pp. 137- 143 ,(2010) , 10.1102/1470-7330.2010.0021
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup Sadhu, Automatic characterization of masses in mammograms biomedical engineering and informatics. pp. 111- 115 ,(2013) , 10.1109/BMEI.2013.6746917
Omar Sultan Al-Kadi, Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images. Computerized Medical Imaging and Graphics. ,vol. 34, pp. 494- 503 ,(2010) , 10.1016/J.COMPMEDIMAG.2009.12.011
Alceu Ferraz Costa, Gabriel Humpire-Mamani, Agma Juci Machado Traina, None, An Efficient Algorithm for Fractal Analysis of Textures brazilian symposium on computer graphics and image processing. pp. 39- 46 ,(2012) , 10.1109/SIBGRAPI.2012.15
Timo Ojala, Matti Pietikäinen, David Harwood, A comparative study of texture measures with classification based on featured distributions Pattern Recognition. ,vol. 29, pp. 51- 59 ,(1996) , 10.1016/0031-3203(95)00067-4
Robert M. Haralick, K. Shanmugam, Its'Hak Dinstein, Textural Features for Image Classification IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-3, pp. 610- 621 ,(1973) , 10.1109/TSMC.1973.4309314
Paulina E. Galavis, Christian Hollensen, Ngoneh Jallow, Bhudatt Paliwal, Robert Jeraj, Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters Acta Oncologica. ,vol. 49, pp. 1012- 1016 ,(2010) , 10.3109/0284186X.2010.498437
Amber L. Simpson, David A. Geller, Alan W. Hemming, William R. Jarnagin, Logan W. Clements, Michael I. D’Angelica, Prashanth Dumpuri, Mithat Gönen, Ivan Zendejas, Michael I. Miga, James D. Stefansic, Liver Planning Software Accurately Predicts Postoperative Liver Volume and Measures Early Regeneration Journal of The American College of Surgeons. ,vol. 219, pp. 199- 207 ,(2014) , 10.1016/J.JAMCOLLSURG.2014.02.027