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pro vyhledávání: '"N J, Bacon"'
Autor:
A. Morisi, R. M. La Ragione, Kevin Wells, Barbara Bacci, N. J. Bacon, Taranpreet Rai, Spencer A. Thomas, Miroslaw Bober
Publikováno v:
Medical Imaging: Digital Pathology
The scarcity of large histopathological datasets can be problematic for Deep Learning in medical imaging and digital pathology. However, transfer Learning has been shown to be promising for the effective training of classifiers on smaller datasets. I
Autor:
N. J. Bacon, Spencer A. Thomas, Barbara Bacci, Miroslaw Bober, A. Morisi, Kevin Wells, Taranpreet Rai, R. M. La Ragione
Publikováno v:
Medical Imaging: Digital Pathology
Complex ‘Big Data’ questions that involve machine learning require large datasets for training. This is particularly problematic for Deep Learning methods in the biomedical imaging domain and specifically Digital Pathology. Transfer Learning has
Publikováno v:
Veterinary and comparative oncology. 15(4)
Hemangiosarcoma (HSA) of bone and telangiectatic osteosarcoma (tOSA) can appear similar histologically, but differ in histogenesis (malignant endothelial cells versus osteoblasts), and may warrant different treatments. Immunohistochemistry (IHC) for
Publikováno v:
Contemporary topics in laboratory animal science. 35(6)