Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images
Convolutional neural networks (CNNs) have become the architecture of choice for visual recognition tasks. However, these models are perceived as black boxes since there is a lack of understanding of the learned behavior from the underlying task of interest. This lack of transparency is a serious dra...
| Main Authors: | , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
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