Zobrazeno 1 - 10
of 530
pro vyhledávání: '"Medicinsk bildbehandling"'
Autor:
Brunzell, Stina
Colorectal cancer is one of the most prevalent malignancies globally and recently introduced digital pathology enables the use of machine learning as an aid for fast diagnostics. This project aimed to develop a deep neural network model to specifical
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533549
Autor:
Jithendra, Shreya
Gene editing techniques have been emerging rapidly through the years, and with this trend comes the great responsibility of making sure the edits are correct. One way to safeguard against mistakes in the edits is to measure gene editing efficiency. C
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-347729
Autor:
Evaldsson, Benjamin
This thesis investigates the potential of federated learning (FL) in medical image analysis, addressing the challenges posed by data privacy regulations in accessing medical datasets. The motivation stems from the increasing interest in artificial in
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-201973
Publikováno v:
International Medical Case Reports Journal. 15:707-712
Restoring normal skeletal anatomy in patients with complex trauma to the mandible can be difficult, the difficulty often increasing with an edentulous mandible. This study describes a case of a displaced edentulous bilateral mandibular fracture, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38969c0e83d503ec4f4b6a4e2514cda3
https://doi.org/10.2147/imcrj.s380604
https://doi.org/10.2147/imcrj.s380604
Publikováno v:
Machine Learning for Biomedical Imaging. 1:1-33
Unsupervised learning has made substantial progress over the last few years, especially by means of contrastive self-supervised learning. The dominating dataset for benchmarking self-supervised learning has been ImageNet, for which recent methods are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b4f3446ef4e7e124bdf0032b26099d
https://doi.org/10.59275/j.melba.2022-f9a1
https://doi.org/10.59275/j.melba.2022-f9a1
Autor:
Robin Rohlén, Marco Carbonaro, Giacinto L. Cerone, Kristen M. Meiburger, Alberto Botter, Christer Grönlund
ObjectiveUltrafast ultrasound imaging has been used to measure intramuscular mechanical dynamics associated with single motor unit (MU) activations. Detecting MU activity from ultrasound sequences requires decomposing a displacement velocity field in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd1d5f450fc6edc78c9fa25d11703897
https://doi.org/10.1101/2023.04.17.537211
https://doi.org/10.1101/2023.04.17.537211
Autor:
Cody McCoy, Tiffany M. Powell-Wiley, Mikael Petersson, Jennifer Linge, Ian J. Neeland, Magnus Borga, Olof Dahlqvist Leinhard, Sanaa Tejani, Jean-Pierre Després, Colby Ayers
Publikováno v:
Mayo Clin Proc
Objective: To evaluate the cardiometabolic outcomes associated with discordant visceral adipose tissue (VAT) and liver fat (LF) phenotypes in 2 cohorts. Patients and Methods: Participants in the Dallas Heart Study underwent baseline imaging from Janu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2969d40ce646e964e4eafb10f834e1
https://doi.org/10.1016/j.mayocp.2021.08.021
https://doi.org/10.1016/j.mayocp.2021.08.021
Publikováno v:
European Journal of Radiology, 159:110662. Elsevier Ireland Ltd
Purpose: To quantitatively and qualitatively assess the visibility of bone structures in the wrist on photon-counting detector computed tomography (PCD-CT) images compared to state-of-the-art energy-integrating detector CT (EID-CT). Method: Four huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a4641637cea40769f3169e664cfa0c7
https://pure.eur.nl/en/publications/e7936c8d-7170-4c2f-b222-1e5bd3afed83
https://pure.eur.nl/en/publications/e7936c8d-7170-4c2f-b222-1e5bd3afed83
Autor:
Stahnke, Lasse
Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to l
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329327