An automatic feature selection and classification framework for analyzing ultrasound kidney images using dragonfly algorithm and random forest classifier
Abstract In medical imaging, the automatic diagnosis of kidney carcinoma has become more difficult because it is not easy to detect by physicians. Pre‐processing is the first identification method to enhance image quality, remove noise and unwanted components from the backdrop of the kidneys image....
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| Format: | Article |
| Language: | English |
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Wiley
2021-07-01
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| Series: | IET Image Processing |
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| Online Access: | https://doi.org/10.1049/ipr2.12179 |