Automated acquisition of explainable knowledge from unannotated histopathology images

Deep learning algorithms have been successfully used in medical image classification. In the next stage, the technology of acquiring explainable knowledge from medical images is highly desired. Here we show that deep learning algorithm enables automated acquisition of explainable features from diagn...

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Detalles Bibliográficos
Autores principales: Yamamoto, Yoichiro, Tsuzuki, Toyonori, Akatsuka, Jun, Ueki, Masao, Morikawa, Hiromu, Numata, Yasushi, Takahara, Taishi, Tsuyuki, Takuji, Tsutsumi, Kotaro, Nakazawa, Ryuto, Shimizu, Akira, Maeda, Ichiro, Tsuchiya, Shinichi, Kanno, Hiroyuki, Kondo, Yukihiro, Fukumoto, Manabu, Tamiya, Gen, Ueda, Naonori, Kimura, Go
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920352/
https://www.ncbi.nlm.nih.gov/pubmed/31852890
http://dx.doi.org/10.1038/s41467-019-13647-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920352/
https://www.ncbi.nlm.nih.gov/pubmed/31852890
http://dx.doi.org/10.1038/s41467-019-13647-8

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