Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

Hongliu Cao; Simon Bernard; Laurent Heutte; Robert Sabourin

doi:10.1007/978-3-319-93000-8_88

Conference papers

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

Hongliu Cao ^{1, 2} Simon Bernard ¹ Laurent Heutte ¹ Robert Sabourin ²

1 DocApp - LITIS - Equipe Apprentissage

LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes

2 ETS - Ecole de Technologie Supérieure [Montréal]

Document type :

Conference papers

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

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https://hal-normandie-univ.archives-ouvertes.fr/hal-02088167
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Submitted on : Tuesday, April 2, 2019 - 4:04:42 PM
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Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

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Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

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