Results 41 to 50 of about 1,027 (170)
Scientific Reports, 2022 Joint analysis of multiple protein expressions and tissue morphology patterns is important for disease diagnosis, treatment planning, and drug development, requiring cross-staining alignment of multiple immunohistochemical and histopathological slides ...
Ching-Wei Wang +5 more
doaj +1 more source
An efficient context-aware approach for whole-slide image classification
iScience, 2023 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
Le Collezioni Digitali del FAI ad HaltaDefinizione: un patrimonio nel patrimonio
ArcheomaticaThe 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
PANDA: A Gigapixel-Level Human-Centric Video Dataset [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 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
Advanced Science, Volume 13, Issue 10, 18 February 2026.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
Frontiers in Medicine, 2022 Over the past decades, histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories.
André Pedersen +17 more
doaj +1 more source
Deep Fusion: A High‐Performance AI Framework for Colorectal Cancer Grading
International Journal of Imaging Systems and Technology, Volume 36, Issue 1, January 2026.ABSTRACT Automated, precise histopathological grading of colorectal cancer (CRC) is vital for prognosis and treatment but is challenged by inter‐observer variability and time demands. This study introduces and evaluates a novel deep learning framework for robust four‐class grading of colorectal adenocarcinoma (Normal, Well, Moderately, and Poorly ...
Muhammed Emin Bedir +3 more
wiley +1 more source
Artificial intelligence in genitourinary pathology
Histopathology, Volume 88, Issue 1, Page 353-373, January 2026.Artificial intelligence (AI) is now practical in genitourinary pathology. We synthesize evidence and economics into a two‐part playbook: VALIDATED (governance) and ORCHESTRATE (operations), to safely deploy AI tools across prostate, bladder, kidney and testis.
Ankush U Patel +2 more
wiley +1 more source
Tra innovazione e conservazione: i gigapixel in Galleria Nazionale dell’Umbria
Archeomatica, 2022 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
Frontiers in Medicine, 2019 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