Results 1 to 10 of about 1,714,596 (353)
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
exaly +2 more sources
Nature Biomedical Engineering, 2017 Conventional methods for intraoperative histopathologic diagnosis are labour- and time-intensive, and may delay decision-making during brain-tumour surgery.
Daniel A Orringer +2 more
exaly +2 more sources
Review of Histology Results of Hand Masses: A South African Audit
The Annals of African Surgery, 2021 Background: Patients with hand masses present for consultation either for pain, loss of function, or cosmetic embarrassment caused by the mass. The majority of hand masses are benign soft tissue tumors. The aim was to review the histology results of hand
Christian Vyamungu +4 more
doaj +1 more source
Diffusion histology imaging differentiates distinct pediatric brain tumor histology
Scientific Reports, 2021 High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conventional MRI has been widely adopted for examining pediatric high-grade brain tumors clinically, accurate neuroimaging detection and differentiation of ...
Zezhong Ye +10 more
doaj +1 more source
Comparison Between Urothelial and Non-Urothelial Urethral Cancer
Frontiers in Oncology, 2021 BackgroundTo test the effect of variant histology relative to urothelial histology on stage at presentation, cancer specific mortality (CSM), and overall mortality (OM) after chemotherapy use, in urethral cancer.Materials and MethodsWithin the ...
Mike Wenzel +20 more
doaj +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 +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 ...
F. Howard +12 more
semanticscholar +1 more source
Heart, 2007 As a luminogram, coronary angiography provides a good overview of the coronary artery tree. Using quantitative coronary measurements, the degree of coronary obstruction can be determined. The limitation of coronary angiography is that it does not provide information on the arterial wall structure and therefore cannot assess the extent of ...
König, Andreas, Klauss, Volker
openaire +3 more sources
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 +3 more
semanticscholar +1 more source