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Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms
dc.contributor.author | Molina-Cabello, Miguel Ángel | |
dc.contributor.author | Rodríguez Rodríguez, José Antonio | |
dc.contributor.author | Thurnhofer Hemsi, Karl | |
dc.contributor.author | López-Rubio, Ezequiel | |
dc.date.accessioned | 2021-07-23T11:32:54Z | |
dc.date.available | 2021-07-23T11:32:54Z | |
dc.date.issued | 2021-07 | |
dc.identifier.uri | https://hdl.handle.net/10630/22693 | |
dc.description.abstract | One of the most invasive cancer types which affect women is breast cancer. Unfortunately, it exhibits a high mortality rate. Automated histopathological image analysis can help to diagnose the disease. Therefore, computer aided diagnosis by intelligent image analysis can help in the diagnosis tasks associated with this disease. Here we propose an automated system for histopathological image analysis that is based on deep learning neural networks with convolutional layers. Rather than a single network, an ensemble of them is built so as to attain higher recognition rates, which are obtained by computing a consensus decision from the individual networks of the ensemble. A final step involves the optimization of the set of networks that are included in the ensemble by a genetic algorithm. Experimental results are provided with a set of benchmark images, with favorable outcomes. | es_ES |
dc.description.sponsorship | Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Mamas - Cáncer | es_ES |
dc.subject.other | Convolutional neural networks | es_ES |
dc.subject.other | Image classification | es_ES |
dc.subject.other | Breast cancer | es_ES |
dc.subject.other | Medical image processing | es_ES |
dc.title | Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.centro | E.T.S.I. Informática | es_ES |
dc.relation.eventtitle | International Joint Conference on Neural Networks 2021 (IJCNN 2021) | es_ES |
dc.relation.eventplace | Virtual | es_ES |
dc.relation.eventdate | Julio de 2021 | es_ES |