Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Johan Jendeberg"'
Publikováno v:
Urolithiasis
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::479661a4bc30191314a4c3883668f175
http://europepmc.org/articles/PMC7867560
http://europepmc.org/articles/PMC7867560
Publikováno v:
European Radiology
Objectives To prospectively validate three quantitative single-energy CT (SE-CT) methods for classifying uric acid (UA) and non-uric acid (non-UA) stones. Methods Between September 2018 and September 2019, 116 study participants were prospectively in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a36b2cebe7f1d53549c6584b8e8ad280
https://pubmed.ncbi.nlm.nih.gov/33635394
https://pubmed.ncbi.nlm.nih.gov/33635394
Publikováno v:
European Radiology
Objectives To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b389e9fe93ac88ab41fca8a8480d32
http://europepmc.org/articles/PMC5635101
http://europepmc.org/articles/PMC5635101
Autor:
Anders Magnuson, Håkan Geijer, Mats Lidén, Wolfgang Krauss, Johan Jendeberg, Muhammed Alshamari, Eva Norrman, Mats Geijer
Publikováno v:
Acta Radiologica. 58:702-709
Background Iterative reconstruction (IR) is a recent reconstruction algorithm for computed tomography (CT) that can be used instead of the standard algorithm, filtered back projection (FBP), to reduce radiation dose and/or improve image quality. Purp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b69f15e815a0f71f83e84b75d510327f
https://doi.org/10.1177/0284185116669870
https://doi.org/10.1177/0284185116669870
Publikováno v:
Computers in biology and medicine. 97
Computed tomography (CT) is the method of choice for diagnosing ureteral stones - kidney stones that obstruct the ureter. The purpose of this study is to develop a computer aided detection (CAD) algorithm for identifying a ureteral stone in thin slic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42cde2d94f39fecb99bef7ed4ea5fb4f
https://pubmed.ncbi.nlm.nih.gov/29730498
https://pubmed.ncbi.nlm.nih.gov/29730498
Publikováno v:
European Radiology
Objectives To compare the ability of different size estimates to predict spontaneous passage of ureteral stones using a 3D-segmentation and to investigate the impact of manual measurement variability on the prediction of stone passage. Methods We ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac9f9906753436a1eea4a5d29d1fef96
https://pubmed.ncbi.nlm.nih.gov/30947446
https://pubmed.ncbi.nlm.nih.gov/30947446