Total contribution score and fuzzy entropy based two‐stage selection of FC, ReLU and inverseReLU features of multiple convolution neural networks for erythrocytes detection
The proposed system aims at automatic erythrocytes detection using ensemble of selected features of multiple convolution neural networks (CNNs) to overcome the shortcomings of existing works arising due to the highly overlapping characteristics of handcrafted features. The main merit of this work li...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-10-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2018.5545 |