Results 41 to 50 of about 1,034 (170)

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

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

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

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, André Pedersen, Erik Smistad, Erik Smistad, Tor V. Rise, Tor V. Rise, Vibeke G. Dale, Vibeke G. Dale, Henrik S. Pettersen, Henrik S. Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Ingerid Reinertsen, Marit Valla, Marit Valla, Marit Valla, Marit Valla   +17 more
doaj   +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, Anil V Parwani, Swati Satturwar   +2 more
wiley   +1 more source

Video-rate gigapixel ptychography via space-time neural field representations

Nature Communications
Achieving gigapixel space-bandwidth products (SBP) at video rates represents a fundamental challenge in imaging science. Here we demonstrate video-rate lensless ptychography that overcomes this barrier through the co-design of optics, sensing scheme, and
Ruihai Wang, Qianhao Zhao, Zhixuan Hong, Qiong Ma, Tianbo Wang, Lingzhi Jiang, Liming Yang, Shaowei Jiang, Feifei Huang, Thanh D. Nguyen, Leslie Shor, Daniel Gage, Mary Lipton, Christopher Anderton, Arunima Bhattacharjee, David Brady, Guoan Zheng   +16 more
doaj   +1 more source

Transformer-based personalized attention mechanism for medical images with clinical records

Journal of Pathology Informatics, 2023
In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images ...
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi   +6 more
doaj   +1 more source

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

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

05 gigapixel microscopy using a flatbed scanner

Biomedical Optics Express, 2013
The capability to perform high-resolution, wide field-of-view (FOV) microscopy imaging is highly sought after in biomedical applications. In this paper, we report a wide FOV microscopy system that uses a closed-circuit-television (CCTV) lens for image relay and a flatbed scanner for data acquisition.
Zheng, Guoan, Ou, Xiaoze, Yang, Changhuei   +2 more
openaire   +3 more sources

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