• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 552
  • 127
  • 90
  • 47
  • 23
  • 12
  • 8
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 1
  • Tagged with
  • 1006
  • 1006
  • 270
  • 241
  • 214
  • 209
  • 188
  • 184
  • 178
  • 173
  • 169
  • 167
  • 165
  • 110
  • 110
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
131

Patienters upplevelser av förberedelserna inför en undersökning av colon med datortomografi

Pettersson, Emma, Kassem, Chirin January 2022 (has links)
No description available.
132

Tillämpning av Artificiell Intelligens vid diagnostisering av lungemboli : Litteraturstudie / Application of Artificial Intelligence in the diagnosis of pulmonary embolism

Vilhelmsson, Kajsa, Sigurdsson, Tilda January 2021 (has links)
No description available.
133

Gadolinium vid MR-undersökning av MS-patienter : En litteraturstudie

Abdulkadir, Suhaila January 2016 (has links)
No description available.
134

Machine Learning Analysis of Ophthalmic Images

Joseph, Naomi Mariam 26 May 2023 (has links)
No description available.
135

Multispectral Imaging of Skin Oxygenation

Huang, Jiwei January 2012 (has links)
No description available.
136

NOVEL PARALLEL TRANSMIT SYSTEMS FOR MRI APPLICATIONS

Gudino, Natalia 16 August 2013 (has links)
No description available.
137

The Computational Reconstruction and Evaluation of the Patellofemoral Instability

Feng, Hao 07 June 2013 (has links)
No description available.
138

En röntgensjuksköterskas upplevelser vid en MR och DT-undersökning på barn som fått sedering med Dexdor

Valdebenito, Rodrigo, Werner, Alexandra January 2023 (has links)
Sedan 2015, får röntgensjuksköterskor vid ett stort sjukhus, som arbetar på MR och DT-avdelningen, självständigt sedera barn mellan sex månader och sex år med läkemedlet kallat Dexdor.
139

Dataset based on volunteer campaign to optimize novel sensor for muscle quality

Holmqvist, Sophia January 2022 (has links)
This project had its primary focus on running a campaign to recruit healthy volunteers for a test study involving the utilization of a microwave sensor and ultrasound measurements. The key system used was the Muscle Analyzer System (MAS), which consisted of the Bandstop Filter Sensor (BFS), a microwave sensor transmitting microwaves into the selected medium through transmission and a FieldFox Vector Network Analyzer which was used to transmit these microwaves. The second system utilized in the project was ultrasound imaging, which enabled the measurement of the size of the Rectus Femoris muscle in the thigh and the thickness of the fat and skin layers on the volunteer. This information served as a basis for interpreting the resonant frequency obtained from the MAS system. The goal was to compare these results to assess the muscle quality of the volunteers. A total of nine volunteers participated in the study, with data from four volunteers being suitable for follow- up data analysis and further research. The primary method used to obtain these results involved collecting measurements from the volunteers and comparing them with results from previous measurements conducted on sick patients in Maastricht. The resonant frequency observed for the volunteers in Uppsala was approximately 2.15 GHz, with the fat layer ranging from 5 to 18 mm in thickness, the skin layer measuring 2 mm thick, and the Rectus Femoris muscle having an area of 4 to 8 cm2. When these measurements were compared with the measurements from Maastricht on sick patients, a significant difference was observed. The patients' measurements showed values of approximately 1.98 GHz, even though there wasn't a substantial difference in the muscle and fat layer areas. In order to draw meaningful conclusions however, it would be necessary to conduct measurements using the same Vector Network Analyzer (VNA) for both healthy volunteers and sick patients with sarcopenia.
140

Segmentation of Fascicles From MicroCT Images of The Vagus Nerve: A Deep Learning Based Approach

Buyukcelik, Ozge N. January 2022 (has links)
No description available.

Page generated in 0.0559 seconds