Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rhett N. D'Souza"'
Publikováno v:
World Neurosurgery: X, Vol 2, Iss , Pp - (2019)
Background: Machine learning (ML) is the application of specialized algorithms to datasets for trend delineation, categorization, or prediction. ML techniques have been traditionally applied to large, highly dimensional databases. Gliomas are a heter
Externí odkaz:
https://doaj.org/article/e5baf2cf12a04feea4c1e725ff415387
Publikováno v:
World Neurosurgery. 113:e628-e637
Background Integration of three-dimensional (3D) printing and stereolithography into clinical practice is in its nascence, and concepts may be esoteric to the practicing neurosurgeon. Currently, creation of 3D printed implants involves recruitment of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431ce8773a6c473dd7a8df789efce6f1
https://doi.org/10.1016/j.wneu.2018.02.111
https://doi.org/10.1016/j.wneu.2018.02.111
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfittin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae7402c2b999b9a80a945ddabc3fff1
https://doi.org/10.1038/s41598-020-57866-2
https://doi.org/10.1038/s41598-020-57866-2
Publikováno v:
World Neurosurgery: X, Vol 2, Iss, Pp-(2019)
World Neurosurgery: X
World Neurosurgery: X
BackgroundMachine learning (ML) is the application of specialized algorithms to datasets for trend delineation, categorization or prediction. ML techniques have been traditionally applied to large, highly-dimensional databases. Gliomas are a heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d609a928fbad3a13e17bf829b4d73e6
Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in certain application domains, particularly medical imaging, and consequently leading to overfitting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b1099633b2285e5300571bab265347
https://doi.org/10.1101/402610
https://doi.org/10.1101/402610
Objectives3D scanning and stereolithographic printing technology becoming increasingly common, however its implementation into clinical practice is in its primacy. These technologies may be esoteric to the practicing neurosurgeon. We explored a range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fa51b8203ab7a36f5a9dd619f2f0525