Results 31 to 40 of about 1,034 (170)
Background: Training convolutional neural networks using pathology whole slide images (WSIs) is traditionally prefaced by the extraction of a training dataset of image patches.
Brendon Lutnick +4 more
doaj +1 more source
Le Collezioni Digitali del FAI ad HaltaDefinizione: un patrimonio nel patrimonio
The acquisition technologies developed by Haltadefinizione allow you to obtain very high resolution digital images of the paintings. Thanks to specially designed algorithms, in fact, it is possible to combine a large quantity of individual photographic ...
Redazione MediaGEO
doaj +4 more sources
A neutron microscope is presented comprising a Wolter‐I nested mirror optic as condenser and a 2D array of neutron achromats as objective.We present a nested Wolter‐I mirror design for a neutron condenser, which is based on established X‐ray telescope technology.
H. F. Poulsen +12 more
wiley +1 more source
Paired CycleGAN‐based virtual staining for 3D X‐ray histology of bone‐implant systems
This work demonstrates virtual staining for 3D X‐ray histology using a modified CycleGAN trained on paired synchrotron radiation microtomography (SR‐µCT) and histology images of bone‐implant specimens. The method enables the generation of artificially coloured contrast resembling conventional histological staining from label‐free SR‐µCT data and is ...
Sarah C. Irvine +5 more
wiley +1 more source
An efficient context-aware approach for whole-slide image classification
Summary: Computational pathology for gigapixel whole-slide images (WSIs) at slide level is helpful in disease diagnosis and remains challenging.
Hongru Shen +8 more
doaj +1 more source
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang +26 more
wiley +1 more source
PANDA: A Gigapixel-Level Human-Centric Video Dataset [PDF]
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapixel camera and cover real-world scenes with both wide field-of-view (~1 square kilometer area) and high-resolution details (~gigapixel-level/frame). The scenes may contain 4k
Xueyang Wang +10 more
openaire +2 more sources
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Tra innovazione e conservazione: i gigapixel in Galleria Nazionale dell’Umbria
The rennovation of the National Gallery of Umbria is an excellent case study of the relationship between art and technology. Beside the construction work, Haltadefinizione conducted an ambitious digitization project involving more than one hundred works
Eleonora Ligas
doaj +2 more sources
Deep Learning for Whole Slide Image Analysis: An Overview
The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual ...
Neofytos Dimitriou +2 more
doaj +1 more source

