Results 81 to 90 of about 4,147 (178)

TissueWand, a rapid histopathology annotation tool

Journal of Pathology Informatics, 2020
Background: Recent advancements in machine learning (ML) bring great possibilities for the development of tools to assist with diagnostic tasks within histopathology.
Martin Lindvall, Alexander Sanner, Fredrik Petré, Karin Lindman, Darren Treanor, Claes Lundström, Jonas Löwgren   +6 more
doaj   +1 more source

Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings

Nature Communications, 2022
The pathological identification of lymph node metastasis in whole-slide images is demanding and tedious. Here, the authors design an artificial-intelligence-assisted assessment workflow to facilitate the routine counting of metastatic LNs.
Shih-Chiang Huang, Chi-Chung Chen, Jui Lan, Tsan-Yu Hsieh, Huei-Chieh Chuang, Meng-Yao Chien, Tao-Sheng Ou, Kuang-Hua Chen, Ren-Chin Wu, Yu-Jen Liu, Chi-Tung Cheng, Yu-Jen Huang, Liang-Wei Tao, An-Fong Hwu, I-Chieh Lin, Shih-Hao Hung, Chao-Yuan Yeh, Tse-Ching Chen   +17 more
doaj   +1 more source

High Voltage CMOS Control Interface for Astronomy - Grade Charged Coupled Devices

, 2008
The Pan-STARRS telescope consists of an array of smaller mirrors viewed by a Gigapixel arrays of CCDs. These focal planes employ Orthogonal Transfer CCDs (OTCCDs) to allow on-chip image stabilization.
A Koga, A Lee, B. Burke, B. Burke, E Martin, G Varner, G. Varner, J Tonry, L Ruckman, P Onaka   +9 more
core   +1 more source

A Systematic Review on Cell Nucleus Instance Segmentation

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This survey provides a comprehensive overview of cell nucleus instance segmentation, covering both traditional and deep‐learning‐based methods. It highlights the strengths and limitations of these approaches while addressing key challenges such as ethical implications, robustness under varying imaging conditions, computational constraints, and the ...
Yulin Chen, Qian Huang, Meng Geng, Zhijian Wang, Yi Han   +4 more
wiley   +1 more source

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

Cosmology with large redshift surveys

, 2012
Galaxy redshift surveys are a major tool to address the most challenging cosmological problems facing cosmology, like the nature of dark energy and properties dark matter.
Sodre Jr, Laerte
core   +1 more source

External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens

BJU International, Volume 135, Issue 1, Page 133-139, January 2025.
Objectives To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole‐mount prostate histopathology, considering potential variations observed when applying AI models trained on biopsy samples to radical prostatectomy (RP) specimens due to ...
Bogdana Schmidt, Simon John Christoph Soerensen, Hriday P. Bhambhvani, Richard E. Fan, Indrani Bhattacharya, Moon Hyung Choi, Christian A. Kunder, Chia‐Sui Kao, John Higgins, Mirabela Rusu, Geoffrey A. Sonn   +10 more
wiley   +1 more source

Accurate Classification of Pathological Whole‐Slide Images for Out‐of‐Distribution Generalization

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
WSI‐based classification often suffers from out‐of‐distribution (OOD) generalization due to the distribution mismatch between training on mixed patches from multiple WSIs and testing on individual WSIs with varying tissue compositions. This prior shift impairs model generalization and degrades performance.
Kai Sun, Kai Huang, Jiaqi Huang, Maoxu Zhou, Gang Yu, Stefano Cirillo   +5 more
wiley   +1 more source

Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing

Analytical Cellular Pathology, 2010
Background: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. The digitised TMA slides or TMA Virtual Slides, are ultra-large digital images, and can contain several hundred ...
Yinhai Wang, David McCleary, Ching-Wei Wang, Paul Kelly, Jackie James, Dean A. Fennell, Peter Hamilton   +6 more
doaj   +1 more source

Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization

, 2016
Digital whole-slide images of pathological tissue samples have recently become feasible for use within routine diagnostic practice. These gigapixel sized images enable pathologists to perform reviews using computer workstations instead of microscopes ...
Bodén, Anna, Fjeld, Morten, Lundström, Claes, Molin, Jesper, Treanor, Darren   +4 more
core