An eight-attribute fundus quality rubric with a ResNet18 regressor, plus a weakly supported claim that quality-aware filtering improves DR grading.
Intermediate Assouad-like dimensions for measures
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The upper and lower Assouad dimensions of a metric space are local variants of the box dimensions of the space and provide quantitative information about the `thickest' and `thinnest' parts of the set. Less extreme versions of these dimensions for sets have been introduced, including the upper and lower quasi-Assouad dimensions, $\theta $-Assouad spectrum, and $\Phi $-dimensions. In this paper, we study the analogue of the upper and lower $\Phi $-dimensions for measures. We give general properties of such dimensions, as well as more specific results for self-similar measures satisfying various separation properties and discrete measures.
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FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment
An eight-attribute fundus quality rubric with a ResNet18 regressor, plus a weakly supported claim that quality-aware filtering improves DR grading.