Diabetic retinopathy image classification with quantitative saliency-oriented visual explanation and SLIC-G image preprocessing methods
The field of medical image analysis has seen remarkable progress, primarily propelled by advancements in Convolutional Neural Networks (CNNs). These sophisticated neural networks have demonstrated their value across various applications, including the detection of lung cancer and segmentation of bra...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2024
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| Online Access: | https://eprints.nottingham.ac.uk/78440/ |