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Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection.

, , , , , and . EMBC, page 3973-3976. IEEE, (2013)

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Rotation–covariant texture learning using steerable Riesz wavelets, , , and . IEEE Transactions on Image Processing, 23 (2): 898-908 (February 2014)La recherche d’images en plusieurs dimensions, and . Market/IBCom, (2011)Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization., , , , , , , and . J. Digital Imaging, 23 (1): 18-30 (2010)From visual words to a visual grammar: using language modelling for image classification., , and . CoRR, (2017)3D Case-Based Retrieval for Interstitial Lung Diseases., , , , , and . MCBR-CDS, volume 5853 of Lecture Notes in Computer Science, page 39-48. Springer, (2009)Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons., , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 353-360. Springer, (2013)Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection., , , , , and . EMBC, page 3973-3976. IEEE, (2013)Image-based diagnostic aid for interstitial lung disease with secondary data integration., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65143P. SPIE, (2007)Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction., , , , , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 367-380. Springer, (2021)Medical Visual Information Retrieval Based on Multi-Dimensional Texture Modeling., and . FET, volume 7 of Procedia Computer Science, page 127-129. Elsevier, (2011)