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...

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Detalles Bibliográficos
Autores principales: Xue, Di-Xiu, Zhang, Rong, Feng, Hui, Wang, Ya-Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Original Article
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

Internet

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

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