MRI for Lung Cancer Management: Any Closer to Clinical Application?
ABSTRACT Management of lung cancer (LC) encompasses screening, diagnosis, staging, radiotherapy planning and guidance, therapy monitoring and surveillance. Across these domains, magnetic resonance imaging (MRI) offers a range of morphological and functional imaging capabilities—including diffusion‐weighted imaging (DWI), dynamic contrast‐enhanced (DCE)
Juergen Biederer +10 more
wiley +1 more source
Leveraging blockchain with zero knowledge proofs in wearable health technologies for personalized healthcare. [PDF]
Khan AA +6 more
europepmc +1 more source
A Mixed-Reality Navigation Simulator for Training Infiltration Procedures of the Spine: Evaluation in Kambin Triangle Location. [PDF]
Domínguez-Velasco CF +8 more
europepmc +1 more source
Treatment-induced anogenital melanosis is a very frequent finding in patients with vulvar lichen sclerosus. [PDF]
Gambichler T +3 more
europepmc +1 more source
The Integration of Micro-CT Imaging and Finite Element Simulations for Modelling Tooth-Inlay Systems for Mechanical Stress Analysis: A Preliminary Study. [PDF]
Nikolova N +8 more
europepmc +1 more source
Construction of new polygon mesh-type phantoms based on adult Japanese voxel phantoms. [PDF]
Sato K, Furuta T, Satoh D, Tsuda S.
europepmc +1 more source
A low-power high performance polygon renderer for computer graphics
Journal of Signal Processing Systems, 1995Polygon rasterization is one of the most computational and memory intensive operations in computer graphics. In this paper, we present a low-power, real-time hardware design for this task. The system is resolution-independent by configuring different numbers of render engines in a 2-dimensional array.
Wee-Chiew Tan, Teresa H.-Y. Meng
exaly +2 more sources
Low-power polygon renderer for computer graphics
Proceedings of International Conference on Application Specific Array Processors (ASAP '93), 2002Polygon rasterization is the most computational and memory intense stage in rendering synthesized computer images. The authors present a low-power, real-time hardware implementation for this task. Rasterization of two-dimensional Gouraud-shaded polygons at 90,000 polygons/sec is achievable with computational power consumption of about 12 mW at 1.5 V ...
Wee-Chiew Tan, T.-Y. Meng
openaire +1 more source

