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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...
Shranjeno v:
| izdano v: | J Med Biol Eng |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer Berlin Heidelberg
2016
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5216097/ https://ncbi.nlm.nih.gov/pubmed/28111532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40846-016-0182-4 |
| Oznake: |
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