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Yoshii, Kazumasa
49  Ergebnisse:
Personensuche X
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1

Effectiveness of deep learning classifiers in histopatholog..:

Sukegawa, Shintaro ; Ono, Sawako ; Tanaka, Futa...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

Is attention branch network effective in classifying dental..:

Sukegawa, Shintaro ; Yoshii, Kazumasa ; Hara, Takeshi...
PLOS ONE.  17 (2022)  7 - p. e0269016 , 2022
Link: https://doi.org/10.1371/..
 
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3

Evaluation of multi-task learning in deep learning-based po..:

Sukegawa, Shintaro ; Matsuyama, Tamamo ; Tanaka, Futa...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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4

Deep learning model for analyzing the relationship between ..:

Sukegawa, Shintaro ; Tanaka, Futa ; Hara, Takeshi...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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5

Effective deep learning for oral exfoliative cytology class..:

Sukegawa, Shintaro ; Tanaka, Futa ; Nakano, Keisuke...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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6

Multi-Task Deep Learning Model for Classification of Dental..:

Sukegawa, Shintaro ; Yoshii, Kazumasa ; Hara, Takeshi...
Biomolecules.  11 (2021)  6 - p. 815 , 2021
Link: https://doi.org/10.3390/..
 
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7

Deep Neural Networks for Dental Implant System Classificati..:

Sukegawa, Shintaro ; Yoshii, Kazumasa ; Hara, Takeshi...
Biomolecules.  10 (2020)  7 - p. 984 , 2020
Link: https://doi.org/10.3390/..
 
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8

Effectiveness of deep learning classifiers in histopatholog..:

Shintaro Sukegawa ; Sawako Ono ; Futa Tanaka...
https://doi.org/10.1038/s41598-023-38343-y.  , 2023
Link: https://doi.org/10.1038/..
 
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9

Effective deep learning for oral exfoliative cytology class..:

Shintaro Sukegawa ; Futa Tanaka ; Keisuke Nakano...
https://doi.org/10.1038/s41598-022-17602-4.  , 2022
Link: https://doi.org/10.1038/..
 
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10

Evaluation of multi-task learning in deep learning-based po..:

Shintaro Sukegawa ; Tamamo Matsuyama ; Futa Tanaka...
https://doi.org/10.1038/s41598-021-04603-y.  , 2022
Link: https://doi.org/10.1038/..
 
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11

Is attention branch network effective in classifying dental..:

Shintaro Sukegawa ; Kazumasa Yoshii ; Takeshi Hara...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328496/?tool=EBI.  , 2022
Link: https://doaj.org/article..
 
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12

Deep learning model for analyzing the relationship between ..:

Shintaro Sukegawa ; Futa Tanaka ; Takeshi Hara...
https://doi.org/10.1038/s41598-022-21408-9.  , 2022
Link: https://doi.org/10.1038/..
 
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13

Is attention branch network effective in classifying dental..:

Shintaro Sukegawa ; Kazumasa Yoshii ; Takeshi Hara...
https://doi.org/10.1371/journal.pone.0269016.  , 2022
Link: https://doi.org/10.1371/..
 
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14

Multi-Task Deep Learning Model for Classification of Dental..:

Shintaro Sukegawa ; Kazumasa Yoshii ; Takeshi Hara...
Molecular Biology.  , 2021
Link: https://doi.org/10.3390/..
 
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15

Multi-Task Deep Learning Model for Classification of Dental..:

Shintaro Sukegawa ; Kazumasa Yoshii ; Takeshi Hara...
https://www.mdpi.com/2218-273X/11/6/815.  , 2021
Link: https://doi.org/10.3390/..
 
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