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CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation
This paper focuses on the problem of feature extraction and the classification of microvascular morphological types to aid esophageal cancer detection. We present a patch-based system with a hybrid SVM model with data augmentation for intraepithelial papillary capillary loop recognition. A greedy pa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216097/ https://www.ncbi.nlm.nih.gov/pubmed/28111532 http://dx.doi.org/10.1007/s40846-016-0182-4 |