Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Daniel G. P. Petrini"'
Autor:
Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel Vansuita Valente, Maria Aparecida Azevedo Koike Folgueira, Hae Yong Kim
Publikováno v:
IEEE Access, Vol 10, Pp 77723-77731 (2022)
Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. One of the best techniques does two transfer learnings: the first uses a
Externí odkaz:
https://doaj.org/article/fe7c890241a446c2a9d2810ee62667b7
Autor:
Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel Vansuita Valente, Maria Aparecida Azevedo Koike Folgueira, Hae Yong Kim
Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. One of the best techniques does two transfer learnings: the first uses a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c330fd6453829478b6dcb7f9064c43a5
http://arxiv.org/abs/2110.01606
http://arxiv.org/abs/2110.01606
