Diabetic retinopathy image classification with quantitative saliency-oriented visual explanation and SLIC-G image preprocessing methods

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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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Bibliographic Details
Main Author:	Lim, Wei Xiang
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	deep learning explainable artificial intelligence medical image diagnosis
Online Access:	https://eprints.nottingham.ac.uk/78440/

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