Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches

Deep learning algorithms have achieved great success in cancer image classification. However, it is imperative to understand the differences between the deep learning and human approaches. Using an explainable model, we aimed to compare the deep learning-focused regions of magnetic resonance (MR) im...

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Detalles Bibliográficos
Autores principales: Akatsuka, Jun, Yamamoto, Yoichiro, Sekine, Tetsuro, Numata, Yasushi, Morikawa, Hiromu, Tsutsumi, Kotaro, Yanagi, Masato, Endo, Yuki, Takeda, Hayato, Hayashi, Tatsuro, Ueki, Masao, Tamiya, Gen, Maeda, Ichiro, Fukumoto, Manabu, Shimizu, Akira, Tsuzuki, Toyonori, Kimura, Go, Kondo, Yukihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920905/
https://www.ncbi.nlm.nih.gov/pubmed/31671711
http://dx.doi.org/10.3390/biom9110673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920905/
https://www.ncbi.nlm.nih.gov/pubmed/31671711
http://dx.doi.org/10.3390/biom9110673

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