Results 41 to 50 of about 1,019 (182)

A self-supervised framework for cross-modal search in histopathology archives using scale harmonization

Scientific Reports
The exponential growth of data across various medical domains has generated a substantial demand for techniques to analyze multimodal big data. This demand is particularly pronounced in fields such as computational pathology due to the diverse nature of ...
Danial Maleki, Shahryar Rahnamayan, H. R. Tizhoosh   +2 more
doaj   +1 more source

Development of a Whole Slide Imaging System on Smartphones and Evaluation With Frozen Section Samples

JMIR mHealth and uHealth, 2017
BackgroundThe aim was to develop scalable Whole Slide Imaging (sWSI), a WSI system based on mainstream smartphones coupled with regular optical microscopes. This ultra-low-cost solution should offer diagnostic-ready imaging quality on par with standalone
Yu, Hong, Gao, Feng, Jiang, Liren, Ma, Shuoxin   +3 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, Mesut Ersin Sönmez, Afife Uğuz, Burcu Sanal Yılmaz   +3 more
wiley   +1 more source

Distributed Seams for Gigapixel Panoramas

, 2015
Gigapixel panoramas are an increasingly popular digital image application. They are often created as a mosaic of many smaller images. The mosaic acquisition can take many hours causing the individual images to differ in exposure and lighting conditions ...
Philip, Sujin, Pascucci, Valerio, Valerio Pascucci, Sujin Philip, Bremer, Peer-Timo, Brian Summa, Julien Tierny, Peer-timo Bremer, Summa, Brian, Tierny, Julien   +9 more
core   +1 more source

Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images

CoRR, 2023
Whole slide images (WSIs) are massive digital pathology files illustrating intricate tissue structures. Selecting a small, representative subset of patches from each WSI is essential yet challenging. Therefore, following the "Divide & Conquer" approach becomes essential to facilitate WSI analysis including the classification and the WSI matching in
Abubakr Shafique, Saghir Alfasly, Areej Alsaafin, Peyman Nejat, Jibran A. Khan, Hamid R. Tizhoosh   +5 more
openaire   +2 more sources

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, Anil V Parwani, Swati Satturwar   +2 more
wiley   +1 more source

Virtual alignment of pathology image series for multi-gigapixel whole slide images

Nature Communications, 2023
Abstract Interest in spatial omics is on the rise, but generation of highly multiplexed images remains challenging, due to cost, expertise, methodical constraints, and access to technology. An alternative approach is to register collections of whole slide images (WSI), generating spatially aligned datasets.
Gatenbee, CD, Baker, A-M, Prabhakaran, S, Swinyard, O, Slebos, RJC, Mandal, G, Mulholland, E, Andor, N, Marusyk, A, Leedham, S, Conejo-Garcia, JR, Chung, CH, Robertson-Tessi, M, Graham, TA, Anderson, ARA   +14 more
openaire   +5 more sources

Artificial Intelligence and Digital Pathology: Toward Next‐Generation Diagnostic Hematology

International Journal of Clinical Practice, Volume 2026, Issue 1, 2026.
The integration of artificial intelligence (AI) is driving a third revolution in pathology, following the transformative impacts of immunohistochemistry and genomic medicine. This review aims to summarize the current landscape of AI applications in diagnostic hematology, highlighting how machine learning (ML) and deep learning (DL) models are poised to
Valeriia Tsekhovska, Pier Paolo Piccaluga, Nikhat Kaura   +2 more
wiley   +1 more source

Microcamera aperture scale in monocentric gigapixel cameras

, 2011
Multiscale cameras achieve wide-angle, high-resolution imaging by combining coarse image formation by a simplified wide-field objective with localized aberration correction in an array of narrow field micro-cameras.
Eric J. Tremblay, David J. Brady, Daniel L. Marks, Ford, Joseph E., Marks, Daniel L., Joseph E. Ford, Brady, David J., Tremblay, Eric J.   +7 more
core   +1 more source

Analyses of Apollo 17 Samples Using the Quantitative Microanalysis Explorer: A Web‐Based Visualization Platform to Study Optical, Electron, and X‐Ray Imaging Data

Journal of Geophysical Research: Planets, Volume 130, Issue 11, November 2025.
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, Ryan C. Ogliore, Paul K. Carpenter, Christopher Yen, Bradley L. Jolliff   +4 more
wiley   +1 more source