Results 21 to 30 of about 955,243 (267)

MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer

Insights into Imaging, 2022
Objectives To explore the diagnostic accuracy of preoperative magnetic resonance imaging (MRI)-derived tumor measurements for the prediction of histopathological deep (≥ 50%) myometrial invasion (pDMI) and prognostication in endometrial cancer (EC ...
Julie Andrea Dybvik, Kristine E. Fasmer, Sigmund Ytre-Hauge, Jenny Hild Aase Husby, Øyvind O. Salvesen, Ingunn Marie Stefansson, Camilla Krakstad, Jone Trovik, Ingfrid S. Haldorsen   +8 more
doaj   +1 more source

Visual assessment of biliary excretion of Gd-EOB-DTPA in patients with suspected diffuse liver disease – A biopsy-verified prospective study

European Journal of Radiology Open, 2015
Objectives: To qualitatively evaluate late dynamic contrast phases, 10, 20 and 30 min, after administration of Gd-EOB-DTPA with regard to biliary excretion in patients presenting with elevated liver enzymes without clinical signs of cirrhosis or hepatic ...
Bengt Norén, Nils Dahlström, Mikael Fredrik Forsgren, Olof Dahlqvist Leinhard, Stergios Kechagias, Sven Almer, Staffan Wirell, Örjan Smedby, Peter Lundberg   +8 more
doaj   +1 more source

MRI‐based radiomic signatures for pretreatment prognostication in cervical cancer

Cancer Medicine, 2023
Background Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI‐based radiomic signatures predict disease‐specific survival (DSS) in CC.
Kari S. Wagner‐Larsen, Erlend Hodneland, Kristine E. Fasmer, Njål Lura, Kathrine Woie, Bjørn I. Bertelsen, Øyvind Salvesen, Mari K. Halle, Noeska Smit, Camilla Krakstad, Ingfrid S. Haldorsen   +10 more
doaj   +1 more source

A Review of Three-Dimensional Medical Image Visualization

Health Data Science, 2022
Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could ...
Liang Zhou, Mengjie Fan, Charles Hansen, Chris R. Johnson, Daniel Weiskopf   +4 more
doaj   +1 more source

SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas

Journal of Imaging
Meningiomas are the most common primary intracranial tumors in adults. For most cases, surgical resection is effective in mitigating recurrence risk. Accurate visualization of meningiomas helps radiologists assess the distribution and volume of the tumor
Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao   +4 more
doaj   +1 more source

Normalized medical information visualization

, 2015
A new mark-up programming language is introduced in order to facilitate and improve the visualization of ISO/EN 13606 dual model-based normalized medical information. This is the first time that visualization of normalized medical information is addressed and the programming language is intended to be used by medical non-IT professionals.
Ricardo Sánchez-de-Madariaga, Adolfo Muñoz Carrero, Roberto Somolinos, Antonio L. Castro, Iker Velázquez, Oscar Moreno, José L. García-Pacheco, Mario Pascual Carrasco, Carlos Hernández Salvador   +8 more
openaire   +3 more sources

Efficient Multi-Material Volume Rendering for Realistic Visualization with Complex Transfer Functions

Journal of Imaging
Physically based realistic direct volume rendering (DVR) is a critical area of research in scientific data visualization. The prevailing realistic DVR methods are primarily rooted in outdated theories of participating media rendering and often lack ...
Chunxiao Xu, Xinran Xu, Jiatian Zhang, Yiheng Cao, Lingxiao Zhao   +4 more
doaj   +1 more source

Dynamic switching between intrinsic and extrinsic mode networks as demands change from passive to active processing

Scientific Reports, 2020
In this study we report on the relationship between default and extrinsic mode networks across alternating brief periods of rest and active task processing.
Frank Riemer, Renate Grüner, Justyna Beresniewicz, Katarzyna Kazimierczak, Lars Ersland, Kenneth Hugdahl   +5 more
doaj   +1 more source

Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert System

Diagnostics, 2023
Successful healthcare companies and illness diagnostics require data visualization. Healthcare and medical data analysis are needed to use compound information.
Abdullah M. Albarrak
doaj   +1 more source

Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images

Machine Learning: Science and Technology, 2023
The infiltrative nature of malignant gliomas results in active tumor spreading into the peritumoral edema, which is not visible in conventional magnetic resonance imaging (cMRI) even after contrast injection.
Iulian Emil Tampu, Neda Haj-Hosseini, Ida Blystad, Anders Eklund   +3 more
doaj   +1 more source