Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Narjes Sadat Bagherian"'
Autor:
Mahdi Yaghoobi, Michael S. Samuel, Rebecca J. Ormsby, Damon J. Tumes, Guillermo A. Gomez, Kaitlin G. Scheer, Narjes Sadat Bagherian, Santosh Poonnoose, Eric Fornaciari, Mark D. McDonnell, Amin Zadeh Shirazi
Publikováno v:
British Journal of Cancer
BackgroundGlioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and invasion within the brain. However, a spatial characterisation of gene signatures and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70e5a7f52a8856ff71a038d688355bdf
https://doi.org/10.1038/s41416-021-01394-x
https://doi.org/10.1038/s41416-021-01394-x
Autor:
Eric Fornaciari, Narjes Sadat Bagherian, Lisa M. Ebert, Barbara Koszyca, Guillermo A. Gomez, Amin Zadeh Shirazi
Publikováno v:
Medical & Biological Engineering & Computing
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0004ce6a1113d806ad8b144aec10f0b8
http://europepmc.org/articles/PMC7188709
http://europepmc.org/articles/PMC7188709
Autor:
Narjes Sadat Bagherian, Mahdi Yaghoobi, Amin Zadeh Shirazi, Michael S. Samuel, Rebecca J. Ormsby, Damon J. Tumes, Guillermo A. Gomez, Mark D. McDonnell, Santosh Poonnoose, Eric Fornaciari, Kaitlin G. Scheer
Publikováno v:
Clinical Cancer Research. 27:PO-004
Glioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and invasion within the brain. Here, we have used a deep convolutional neural network (DCNN) as a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e140870d383eeb16f05254b4ea660301
https://doi.org/10.1158/1557-3265.adi21-po-004
https://doi.org/10.1158/1557-3265.adi21-po-004