المؤلفون: Thomas, Marie Franziska, Kofler, Florian, Grundl, Lioba, Finck, Tom, Li, Hongwei, Zimmer, Claus, Menze, Björn, Wiestler, Benedikt

المصدر: Thomas, Marie Franziska; Kofler, Florian; Grundl, Lioba; Finck, Tom; Li, Hongwei; Zimmer, Claus; Menze, Björn; Wiestler, Benedikt (2022). Improving Automated Glioma Segmentation in Routine Clinical Use Through Artificial Intelligence-Based Replacement of Missing Sequences With Synthetic Magnetic Resonance Imaging Scans. Investigative Radiology, 57(3):187-193.

مصطلحات موضوعية: Department of Quantitative Biomedicine, 610 Medicine & health, Radiology, Nuclear Medicine and imaging, General Medicine

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/230830/1/2022_Improving.pdfTest; info:pmid/34652289; urn:issn:0020-9996

الإتاحة: https://doi.org/10.5167/uzh-23083010.1097/rli.0000000000000828Test
https://www.zora.uzh.ch/id/eprint/230830Test/
https://www.zora.uzh.ch/id/eprint/230830/1/2022_Improving.pdfTest

المؤلفون: Benedikt Wiestler, Hongwei Li, Marie Franziska Thomas, Tom Finck, Florian Kofler, Lioba Grundl, Björn H. Menze, Claus Zimmer

المساهمون: University of Zurich

مصطلحات موضوعية: Computer science, Automated segmentation, 610 Medicine & health, Fluid-attenuated inversion recovery, Nuclear Medicine and imaging, Objective assessment, Artificial Intelligence, Image Processing, Computer-Assisted, medicine, Humans, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Segmentation, medicine.diagnostic_test, Brain Neoplasms, business.industry, Tumor biology, Magnetic resonance imaging, Pattern recognition, Glioma, General Medicine, Magnetic Resonance Imaging, Test set, Metric (mathematics), Artificial intelligence, business, Radiology, 11493 Department of Quantitative Biomedicine

وصف الملف: 2022_Improving.pdf - application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa9c597d45cdca32068bafdc0194e77Test