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QP-Liver®
AI-assisted accurate and automated liver segmentation
Improve the diagnosis of diffuse liver diseases through highly accurate quantification of tissue fat and iron from MRI. Quibim build a new product that leverages the best AI models for highly accurate automated liver segmentation. The methodology has been validated against digital pathology.
References:
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Martí-Aguado et al. (2022). Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease. Radiology, 302(2), 345-354. doi: 10.1148/radiol.2021211027. https://pubmed.ncbi.nlm.nih.gov/34783592/
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Jimenez-Pastor et al. (2021). Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR images. European Radiology, 31(10), 7876-7887. doi: 10.1007/s00330-021-07838-5. https://pubmed.ncbi.nlm.nih.gov/33768292/
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França et al. (2018a). Optimizing the management of hereditary haemochromatosis: the value of MRI R2* quantification to predict and monitor body iron stores. British Journal of Haematology, 183(3), 491-493. doi: 10.1111/bjh.14982. https://pubmed.ncbi.nlm.nih.gov/29082508/
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França et al. (2018b). Tissue iron quantification in chronic liver diseases using MRI shows a relationship between iron accumulation in liver, spleen, and bone marrow. Clinical Radiology, 73(2), 215.e1-215.e9. doi: 10.1016/j.crad.2017.07.022. https://pubmed.ncbi.nlm.nih.gov/28863932/
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França et al. (2017). Accurate simultaneous quantification of liver steatosis and iron overload in diffuse liver diseases with MRI. Abdominal Radiology, 42(5), 1434-1443. doi: 10.1007/s00261-017-1048-0. https://pubmed.ncbi.nlm.nih.gov/28110367/