Teams
What is a Team?The CRC Cohort is a collection of clinical data and digital high-resolution digital pathology images pertaining to tumor cases. The collection has been assembled from a number of participating biobanks and other partners through the ADOPT BBMRI-ERIC project.
Space: Independent Teams
Public web page: Not specified
The Computer Research Institute of Montreal (CRIM) is a leading center for applied research and cutting-edge expertise in artificial intelligence and information technology. It generates concrete results and serves as a strategic partner for organizations focused on innovation.CRIM creates socio-economic value from scientific and technological advances through:- Support: providing companies access to experts who answer scientific and technological questions.- Applied research: contributing to ...
Space: Independent Teams
Public web page: https://crim.ca
Space: Independent Teams
Public web page: Not specified
Space: Independent Teams
Public web page: Not specified
Bioinformation science
Space: Independent Teams
Public web page: Not specified
Members of Culhane research group
Space: Independent Teams
Public web page: Not specified
In life sciences today, the handling, analysis and storage of enormous amounts of data is a challenging issue. For example, new sequencing and imaging technologies result in the generation of large scale genomic and image data. Hence, an appropriate IT infrastructure is crucial to perform analyses with such large datasets and to ensure secure data access and storage. In addition, it is difficult to directly compare result data that have been processed at different sites, due to a lack in ...
Space: Independent Teams
Public web page: https://cloud.denbi.de
team dedicated to the development of the deepdefense software
Space: Independent Teams
Public web page: Not specified
Space: Independent Teams
Public web page: Not specified
Mass spectrometry imaging, which localizes molecules in a tag-free, spatially-resolved manner, is a powerful tool for the understanding of underlying biochemical mechanisms of biological phenomena. When analyzing MSI data, it is essential to delineate Regions-of-Interest (ROIs) that correspond to tissue areas of different anatomical or pathological labels. Spatial segmentation, obtained by clustering MSI pixels according to their mass spectral similarities, is a popular approach to automate ROI ...
Space: Independent Teams
Public web page: https://github.com/guoang4github/ROIforMSI/