Results 71 to 80 of about 16,808 (228)

Combining graph neural network and Mamba to capture local and global tissue spatial relationships in whole slide images

Scientific Reports
In computational pathology, extracting and representing spatial features from gigapixel whole slide images (WSIs) are fundamental tasks, but due to their large size, WSIs are typically segmented into smaller tiles.
Ruiwen Ding, Kha-Dinh Luong, Erika Rodriguez, Ana Cristina Araujo Lemos da Silva, William Hsu   +4 more
doaj   +1 more source

Building consensus on Internet access at the Internet Governance Forum (IGF) [PDF]

, 2008
This paper identifies and documents the main areas of discussions and 'recommendations' that were generated under the Access theme at the second Internet Governance Forum in Rio De Janeiro, November 2007.
Jagun, A.
core  

Deep learning‐based H&E‐derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response

The Journal of Pathology, EarlyView.
Abstract Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)‐stained routine whole‐slide images (WSIs). Unlike traditional studies that rely on manually defined histopathological features, weakly supervised DL allows training directly on ...
Nic G Reitsam, Xiaofeng Jiang, Junhao Liang, Bianca Grosser, Veselin Grozdanov, Chiara ML Loeffler, Marco Gustav, Tim Lenz, Hannah S Muti, Zunamys I Carrero, Nicholas P West, Philip Quirke, Sebastian Foersch, Moritz Jesinghaus, Wolfram Müller, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Jitendra Jonnagaddala, Nicholas J Hawkins, Robyn L Ward, Heike I Grabsch, Bruno Märkl, Jakob N Kather   +23 more
wiley   +1 more source

What practicing pathologists and oncologists should know about the new computational pathology‐based companion diagnostic tools

The Journal of Pathology, EarlyView.
Abstract The integration of artificial intelligence into pathology is transforming the assessment of histological and immunohistochemical (IHC) slides, offering opportunities to reduce variability and streamline diagnostics. In practical terms, most available tools and research models emulate the diagnostic capabilities of pathologists by detecting ...
Diana Montezuma, Sara P. Oliveira, Inti Zlobec, Nadieh Khalili, Jordi Temprana‐Salvador, Sabine Leh, David Ameisen, Mircea‐Sebastian Șerbănescu, Arsela Prelaj, Jakob Nikolas Kather, Norman Zerbe, Vincenzo L'Imperio   +11 more
wiley   +1 more source

Observation of Water-Soluble Ions in Southwest China: Secondary Ion Formation and Biomass Burning Impact

Aerosol and Air Quality Research
Objective To investigate the seasonal characteristics, sources, secondary generation of water-soluble ions (WSIs) in PM2.5 and the impacts of biomass burning (BB) on WSIs in Southwest China.
Jianwu Shi, Ying Cao, Xinyu Han, Yaoqian Zhong, Limei Bi, Feng Xiang, Haitao Xie, Jianmin Wang, Xiaoxi Yang, Annan Zhao, Senlin Tian, Ping Ning   +11 more
doaj   +1 more source

Promises, Promises [PDF]

, 2005
As host of the Olympic Games, China seeks to increase national economic and socialdevelopment and "display to the world a new image of China", and presents the Games as an opportunity to foster democracy, improve human rights and integrate China with the
Amy Tai, Elisabeth Wickeri, Ellen Payne
core  

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Bieda ormiańskiej wsi

Wieś i Rolnictwo, 2009
Bieda ormiańskiej wsi.
openaire   +2 more sources

Development and validation of a multimodal model based on histopathological and computed tomography imaging for predicting survival outcomes in stage III colorectal cancer

VIEW, EarlyView.
Patients with stage III colorectal cancer exhibit substantial heterogeneity in clinical outcomes despite receiving standardized treatments, which complicates accurate risk stratification. In this study, we integrated features derived from routine histopathological slides and preoperative computed tomography scans using machine learning to develop a ...
Danyi Li, Zhangxin Zhao, Genxia Wei, Weihao Qiu, Zhihao Lin, Jiankun He, Bingbing Li, Jing Wang, Lisheng Zheng, Feiyan Feng, Xiangkun Wu, Zhengyu Zhang, Jinbang Li, Mingxing Qiu, Shujing Guo, Chenglong Zhao, Ying Tan, Yueping Liu, Qingling Zhang, Yu Zhang, Li Liang   +20 more
wiley   +1 more source

Creating an atlas of normal tissue for pruning WSI patching through anomaly detection

Scientific Reports
Patching whole slide images (WSIs) is an important task in computational pathology. While most of them are designed to classify or detect the presence of pathological lesions in a WSI, the confounding role and redundant nature of normal histology are ...
Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron R. Mangold, Dennis H. Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, H. R. Tizhoosh   +9 more
doaj   +1 more source