Results 11 to 20 of about 1,657,839 (363)

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Nature Methods, 2021
Recent advances in spatially resolved transcriptomics (SRT) technologies have enabled comprehensive characterization of gene expression patterns in the context of tissue microenvironment. To elucidate spatial gene expression variation, we present SpaGCN,
Jian Hu, Xiangjie Li, Kyle Coleman, Amelia Schroeder, Nan Ma, D. Irwin, Eddie B. Lee, R. Shinohara, Mingyao Li   +8 more
semanticscholar   +1 more source

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Nature Communications, 2021
The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep learning (DL) models have been trained on TCGA to predict numerous features directly from histology, including survival, gene expression patterns, and driver ...
Frederick M. Howard, J. Dolezal, S. Kochanny, Jefree J. Schulte, Heather Chen, L. Heij, D. Huo, R. Nanda, O. Olopade, Jakob Nikolas Kather, N. Cipriani, R. Grossman, A. Pearson   +12 more
semanticscholar   +1 more source

Deep learning classification of lung cancer histology using CT images

Scientific Reports, 2021
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image ...
T. Chaunzwa, A. Hosny, Yiwen Xu, Andrea Shafer, N. Diao, M. Lanuti, D. Christiani, R. Mak, H. Aerts   +8 more
semanticscholar   +1 more source

Global burden of oesophageal and gastric cancer by histology and subsite in 2018

Gut, 2020
Objectives To provide updated estimates of the global burden of oesophageal and gastric cancer by subsite and type. Methods Using data from population-based cancer registries, proportions of oesophageal adenocarcinoma (OAC) and squamous cell carcinoma ...
M. Arnold, J. Ferlay, M. I. van Berge Henegouwen, I. Soerjomataram   +3 more
semanticscholar   +1 more source

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis [PDF]

bioRxiv, 2018
Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists. Computer-aided
A. Rakhlin, Alexey A. Shvets, V. Iglovikov, Alexandr A Kalinin   +3 more
semanticscholar   +1 more source

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks

Nature Network Boston, 2019
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery1. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive2,3 ...
Todd C. Hollon, B. Pandian, S. Khalsa, R. D’Amico, M. Sisti, J. Bruce, K. Muraszko, B. Thompson, C. Freudiger, S. Hervey-Jumper, G. Mckhann, S. Camelo-Piragua, P. Canoll, Honglak Lee, D. Orringer   +14 more
semanticscholar   +1 more source

The effect of oral administration of salbutamol on the glycoconjugate composition in goblet cells of the tracheal epithelium in rabbits

Veterinární Medicína, 2001
We verified the influence of salbutamol on changes of glycoconjugates contained in tracheal goblet cells in rabbits by the oral administration of Ventolin™ syrup in the dose of 5 ml.
L. Vajner, V. Konrádová, J. Uhlík, J. Zocová   +3 more
doaj   +1 more source

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images [PDF]

IEEE Transactions on Medical Imaging, 2019
Digital histology images are amenable to the application of convolutional neural networks (CNNs) for analysis due to the sheer size of pixel data present in them. CNNs are generally used for representation learning from small image patches (e.g.
M. Shaban, Ruqayya Awan, M. Fraz, A. Azam, Y. Tsang, D. Snead, N. Rajpoot   +6 more
semanticscholar   +1 more source

Driving the Mineral out Faster: Simple Modifications of the Decalcification Technique [PDF]

Journal of Clinical and Diagnostic Research, 2015
Introduction: Quicker decalcification is essential for faster diagnosis of hard tissue pathology. Heat and mechanical agitation are known to hasten decalcification. Aim: To compare the rate of decalcification, cellular and staining characteristics of
Supriya Nikita Kapila, Srikant Natarajan, Karen Boaz, Jay Ashokkumar Pandya, Shanmukha Raviteja Yinti   +4 more
doaj   +1 more source

Supplementation with arginine in the diet of Nile tilapia reared in net cages [PDF]

Pesquisa Agropecuária Brasileira, 2019
: The objective of this work was to evaluate the effect of dietary arginine concentrations on the health status of Nile tilapia (Oreochromis niloticus) cultivated in cages.
Rodrigo Yudi Fujimoto, Rudã Fernandes Brandão Santos, Gabriela Pala, Sílvia Umeda Gallani, Gustavo Moraes Ramos Valladão, Gisele Cavalcante Morais, James Tony Lee, Natalino da Costa Sousa, Fernanda dos Santos Cunha, Alexandre Nizio Maria, Paulo César Falanghe Carneiro, Fabiana Pilarski   +11 more
doaj   +1 more source