Results 51 to 60 of about 1,027 (170)

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

GENERATION OF GIGAPIXEL ORTHOPHOTO FOR THE MAINTENANCE OF COMPLEX BUILDINGS. CHALLENGES AND LESSON LEARNT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
This study is part of the “Milan Cathedral Survey project”. It is a three years long research project with the aim of surveying the entire cathedral in 3D with different techniques (mainly photogrammetry and laser scanning).
L. Perfetti, F. Fassi, H. Gulsan
doaj   +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

Fourier ptychography microscopy for digital pathology

Journal of Microscopy, Volume 300, Issue 2, Page 260-285, November 2025.
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, Laura Copeland, Giuseppe Di Caprio, Gail McConnell, Akhil Kallepalli   +4 more
wiley   +1 more source

Detecting Cancer Metastases on Gigapixel Pathology Images

CoRR, 2017
Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization"
Yun Liu 0013, Krishna Gadepalli, Mohammad Norouzi 0002, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Gregory S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe   +12 more
openaire   +2 more sources

Circulating Microclots Are Structurally Associated With Neutrophil Extracellular Traps and Their Amounts Are Elevated in Long COVID Patients

Journal of Medical Virology, Volume 97, Issue 10, October 2025.
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, Tom Usher, Cynthia Sanchez, Simone Turner, Chantelle Venter, Brice Pastor, Maxine Waters, Anel Thompson, Alexia Mirandola, Ekaterina Pisareva, Corinne Prevostel, Gert J. Laubscher, Douglas B. Kell, Etheresia Pretorius   +13 more
wiley   +1 more source

Decentralized federated learning through proxy model sharing

Nature Communications, 2023
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, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, H. R. Tizhoosh   +4 more
doaj   +1 more source

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer

Advanced Science, Volume 12, Issue 31, August 21, 2025.
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu   +23 more
wiley   +1 more source

Microcamera aperture scale in monocentric gigapixel cameras [PDF]

Applied Optics, 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 microcameras. Microcamera aperture size is a critical parameter in multiscale design; a larger aperture has greater capacity to correct aberration but ...
Daniel L, Marks, Eric J, Tremblay, Joseph E, Ford, David J, Brady   +3 more
openaire   +2 more sources

Translating Generative Digital Pathology to Clinical Workflows: Insights From Transformer‐Based Pathology Image and Text Alignment Network

iLABMED, Volume 4, Issue 2, Page 123-125, June 2026.
Xin Xin, Guoliang Zheng
wiley   +1 more source