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How to speed up outliers removal in image matching., , , and . Pattern Recognit. Lett., (2018)Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures., , , , , and . CBMS, page 72-77. IEEE, (2022)Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning., , , , , , , , and . CBMS, page 78-83. IEEE, (2022)BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging., , , and . SAC, page 220-227. ACM, (2019)The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine., , , , , , , , and . Comput. Biol. Medicine, (2021)3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging., , , , , and . CBMS, page 435-440. IEEE, (2019)3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging., , , , , and . CoRR, (2019)FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points., , and . SIBGRAPI, page 225-232. IEEE Computer Society, (2016)Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg., , , , , , and . SIBGRAPI, page 76-83. IEEE, (2019)FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI., , , and . SAC, page 198-201. ACM, (2020)