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García-Pardo, JG.; Colomer, A.; Naranjo Ornedo, V. (2019). First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning. Entropy. 21(4). https://doi.org/10.3390/e21040356
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/124304
Título: | First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning | |
Autor: | García-Pardo, José Gabriel | |
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[EN] Analysis of histopathological image supposes the most reliable procedure to identify prostate cancer. Most studies try to develop computer aid-systems to face the Gleason grading problem. On the contrary, we delve ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | http://doi.org/10.3390/e21040356 | |
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This work has been funded by the Ministry of Economy, Industry and Competitiveness under the SICAP project (DPI2016-77869-C2-1-R). The work of Gabriel Garcia has been supported by the State Research Spanish Agency PTA2017-14610-I.[+]
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