Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Frank Lindseth"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Three-dimensional (3D) images provide a comprehensive view of material microstructures, enabling numerical simulations unachievable with two-dimensional (2D) imaging alone. However, obtaining these 3D images can be costly and constrained by
Externí odkaz:
https://doaj.org/article/9757a7bd944a47548af6ba4ed387b63f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this study, we aimed to create an 11-year hypertension risk prediction model using data from the Trøndelag Health (HUNT) Study in Norway, involving 17 852 individuals (20–85 years; 38% male; 24% incidence rate) with blood pressure (BP)
Externí odkaz:
https://doaj.org/article/68ad397c4f664b8b889cc4a1948c727b
Publikováno v:
IEEE Access, Vol 12, Pp 62664-62676 (2024)
With reliable performance, and linear time complexity, Vision Transformers like the Swin Transformer are gaining popularity in the field of Medical Image Computing (MIC). Examples of effective volumetric segmentation models for brain tumours include
Externí odkaz:
https://doaj.org/article/0393868117f04747b4e6397e5645967c
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0294148 (2024)
ObjectiveOur goal was to review the available literature on prognostic risk prediction for incident hypertension, synthesize performance, and provide suggestions for future work on the topic.MethodsA systematic search on PUBMED and Web of Science dat
Externí odkaz:
https://doaj.org/article/0db5a1c07d784e30a24a70abb19688e6
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 909-928 (2023)
In this paper, we investigate the use of Vision Transformers for processing and understanding visual data in an autonomous driving setting. Specifically, we explore the use of Vision Transformers for semantic segmentation and monocular depth estimati
Externí odkaz:
https://doaj.org/article/01764ac85e974a8aa8d633a8f0f53918
Autor:
Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis, David Bouget, Shanmugapriya Survarachakan, Thomas Langø, Ole-Jakob Elle, Frank Lindseth
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0282110 (2023)
PurposeThis study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging.MethodsDifferent training strategies, loss functions, and transfer learning schemes were
Externí odkaz:
https://doaj.org/article/e093d0fa90d04d9ea70b5afaa58f13af
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Obtaining an accurate segmentation of images obtained by computed microtomography (micro-CT) techniques is a non-trivial process due to the wide range of noise types and artifacts present in these images. Current methodologies are often time
Externí odkaz:
https://doaj.org/article/e727135ea62a4c139b25ea60c7bb33b9
Autor:
Vemund Fredriksen, Svein Ole M Sevle, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth
Publikováno v:
PLoS ONE, Vol 17, Iss 4, p e0266147 (2022)
PurposeCancer is among the leading causes of death in the developed world, and lung cancer is the most lethal type. Early detection is crucial for better prognosis, but can be resource intensive to achieve. Automating tasks such as lung tumor localiz
Externí odkaz:
https://doaj.org/article/2a7e71008dae40eeb56897510e31eaba
Autor:
Pall Jens Reynisson, Marta Scali, Erik Smistad, Erlend Fagertun Hofstad, Håkon Olav Leira, Frank Lindseth, Toril Anita Nagelhus Hernes, Tore Amundsen, Hanne Sorger, Thomas Langø
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0144282 (2015)
Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic tool to peripheral lesions, synchroniz
Externí odkaz:
https://doaj.org/article/bb965c779c46454aa3567e3afd5cb4d3
Publikováno v:
Pattern Recognition Letters. 166:97-104