Results 91 to 100 of about 4,206 (188)
Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing
Background: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. The digitised TMA slides or TMA Virtual Slides, are ultra-large digital images, and can contain several hundred ...
Yinhai Wang +6 more
doaj +1 more source
Roadmap for Commercial Gigapixel Cameras
Multiscale array cameras allow 10–100× improvements in commercial camera resolution. This talk discussed the optical manufacturing, electronic processing and communications and cloud software ecosystem that enables economical multiscale cameras.
openaire +2 more sources
Abstract Cytopathology represents a well established diagnostic approach because of its limited cost, reliability, and minimal invasiveness with respect to other methodologies. The evolving complexity of the different classifications systems and the implementation of ancillary techniques to refine the diagnosis is progressively helping in the risk of ...
Alessandro Caputo +2 more
wiley +1 more source
Lucrezia Borgia alla luce trasmessa
The article analyses the complex digitisation project of Lucrezia Borgia's letters and registers recently carried out by the tech company Haltadefinizione at the State Archive of Modena.
Maria Chiara Spiezia
doaj
Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization
Digital whole-slide images of pathological tissue samples have recently become feasible for use within routine diagnostic practice. These gigapixel sized images enable pathologists to perform reviews using computer workstations instead of microscopes ...
Bodén, Anna +4 more
core
Synthetic Foveal Imaging Technology [PDF]
Apparatuses and methods are disclosed that create a synthetic fovea in order to identify and highlight interesting portions of an image for further processing and rapid response. Synthetic foveal imaging implements a parallel processing architecture that
Hoenk, Michael E. +2 more
core +1 more source
Machine learning methods for histopathological image analysis: Updates in 2024
The combination of artificial intelligence and digital pathology has emerged as a transformative force in healthcare and biomedical research. As an update to our 2018 review, this review presents comprehensive analysis of machine learning applications in
Daisuke Komura +2 more
doaj +1 more source
A Gigapixel Computational Light-Field Camera
Light-field cameras allow the acquisition of both the spatial and angular components of the light. This has a wide range of applications from image refocusing to 3D reconstruction of a scene. The conventional way to perform such acquisitions leads to a strong spatio-angular resolution limit.
Gregory, Thomas +3 more
openaire +2 more sources
A dual-consistency semi-supervised learning method for histopathology image segmentation
Segmenting tumor regions from the whole-slide images (WSIs) is crucial for quantitative characterizing of the tumor microenvironment and supporting clinical diagnosis.
Mingjian Xie +6 more
doaj +1 more source
Remote sensing image super-resolution (SR) is vital for urban planning, precision agriculture, and environmental monitoring, yet existing methods have limitations: CNNs with restricted receptive fields cause edge blurring, Transformers with O(L2d ...
Rongchang Lu, Hongbo Miao, Xin Hai
doaj +1 more source

