Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ananda van der Kamp"'
Autor:
Jikke J. Rutgers, Tessa Bánki, Ananda van der Kamp, Tomas J. Waterlander, Marijn A. Scheijde-Vermeulen, Marry M. van den Heuvel-Eibrink, Jeroen A. W. M. van der Laak, Marta Fiocco, Annelies M. C. Mavinkurve-Groothuis, Ronald R. de Krijger
Publikováno v:
Diagnostic Pathology, Vol 16, Iss 1, Pp 1-6 (2021)
Abstract Background Histopathological classification of Wilms tumors determines treatment regimen. Machine learning has been shown to contribute to histopathological classification in various malignancies but requires large numbers of manually annota
Externí odkaz:
https://doaj.org/article/94fc23074ff94fc9bff4bcccf3f4ccb3
Autor:
Ananda van der Kamp, Tomas J. Waterlander, Thomas de Bel, Jeroen van der Laak, Marry M. van den Heuvel-Eibrink, Annelies M. C. Mavinkurve-Groothuis, Ronald R. de Krijger
Publikováno v:
PEDIATRIC AND DEVELOPMENTAL PATHOLOGY, 25, 4, pp. 380-387
PEDIATRIC AND DEVELOPMENTAL PATHOLOGY, 25, 380-387
PEDIATRIC AND DEVELOPMENTAL PATHOLOGY, 25, 380-387
Item does not contain fulltext Artificial Intelligence (AI) has become of increasing interest over the past decade. While digital image analysis (DIA) is already being used in radiology, it is still in its infancy in pathology. One of the reasons is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4d6c9bc152b0092ccd9043dfe4dd97
https://repository.ubn.ru.nl/handle/2066/283498
https://repository.ubn.ru.nl/handle/2066/283498
Autor:
Marijn A Scheijde-Vermeulen, Marry M. van den Heuvel-Eibrink, Jeroen van der Laak, Marta Fiocco, Ananda van der Kamp, Jikke J Rutgers, Ronald R. de Krijger, Tessa Bánki, Annelies M. C. Mavinkurve-Groothuis, Tomas J Waterlander
Publikováno v:
Diagnostic Pathology, 16(1). BMC
Diagnostic Pathology, 16
Diagnostic Pathology, 16, 1
Diagnostic Pathology, 16:77
Diagnostic Pathology, Vol 16, Iss 1, Pp 1-6 (2021)
Diagnostic Pathology
Diagnostic Pathology, 16
Diagnostic Pathology, 16, 1
Diagnostic Pathology, 16:77
Diagnostic Pathology, Vol 16, Iss 1, Pp 1-6 (2021)
Diagnostic Pathology
Background Histopathological classification of Wilms tumors determines treatment regimen. Machine learning has been shown to contribute to histopathological classification in various malignancies but requires large numbers of manually annotated image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08203a8e59d5660e4cf4cafc3cfb4bbb
https://diagnosticpathology.biomedcentral.com/track/pdf/10.1186/s13000-021-01136-w
https://diagnosticpathology.biomedcentral.com/track/pdf/10.1186/s13000-021-01136-w