Results 61 to 70 of about 2,185 (196)
Transformer-based personalized attention mechanism for medical images with clinical records
In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images ...
Yusuke Takagi +6 more
doaj +1 more source
Abstract We have developed the Quantitative Microanalysis Explorer, or QME‐Tool, a web‐based platform for visualization of large imaging data sets and interrogation of quantitative elemental maps acquired by electron microprobes. Using a combination of open‐source JavaScript libraries and custom scripts, the QME‐Tool can be used to quickly identify ...
Angelina Minocha +4 more
wiley +1 more source
Speed up Object Detection on Gigapixel-level Images with Patch Arrangement
With the appearance of super high-resolution (e.g., gigapixel-level) images, performing efficient object detection on such images becomes an important issue.
Fan, Jiahao +5 more
core +1 more source
Fourier ptychography microscopy for digital pathology
Abstract Fourier ptychography microscopy (FPM) has made significant progress since its invention in 2013, thanks to its adaptable nature, high resolution, and vast field‐of‐view capabilities. FPM is used in various medical applications across multiple optical wavelengths, from automated digital pathology to radiology and ultraviolet label‐free imaging.
Fraser Eadie +4 more
wiley +1 more source
Una gigapixel image es una imagen digital de mapa de bits que se compone de más de un gigapixel. La creación de estas imágenes tan grandes implica la unión a modo de mosaico de un gran número de capturas fotográficas de alta resolución en una sola que las combina todas. Actualmente tienen especial interés en numerosas disciplinas.
openaire +1 more source
Efficient image reconstruction for gigapixel quantum image sensors [PDF]
Recent advances in materials, devices and fabrication technologies have motivated a strong momentum in developing solid-state sensors that can detect individual photons in space and time. It has been envisioned that such sensors can eventually achieve very high spatial resolutions (e.g., 109 pixels/chip) as well as high frame rates (e.g., 106 frames ...
Chan, Stanley H., Lu, Yue
openaire +3 more sources
ABSTRACT The persistence of vasculo‐thrombotic complications has been put forward as a possible contributing factor in the Long COVID (LC) syndrome. Given the recently reported separate demonstration of the association of LC with elevated levels of heterogenous fibrin(ogen) amyloidogenic particles (microclots) and with those neutrophil extracellular ...
Alain R. Thierry +13 more
wiley +1 more source
Real-time Shadows for Gigapixel Displacement Maps [PDF]
Shadows portray helpful information in scenes. From a scientific visualization standpoint, they help to add data without unnecessary clutter. In video games they add realism and depth.
Cherry, Kevin Anthony
core +1 more source
Diagnosis and monitoring of rock art sites in “4D · arte rupestre” projects
Since 2013 the projects “4D · arte rupestre” have been carried out in more than 20 sites along the eastern half of the Iberian Peninsula, in locations included in UNESCO’s World Heritage List since 1998.
Juan F. Ruiz López +2 more
doaj +1 more source
Decentralized federated learning through proxy model sharing
Institutions in highly regulated domains such as finance and healthcare often have restrictive rules around data sharing. Federated learning is a distributed learning framework that enables multi-institutional collaborations on decentralized data with ...
Shivam Kalra +4 more
doaj +1 more source

