HIGHLIGHTS
- who: Parham Khojasteh from the (UNIVERSITY) have published the article: Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms, in the Journal: (JOURNAL)
- what: Methods: This study has proposed an alternate method using probabilistic output from Convolution neural network to automatically and simultaneously detect exudates hemorrhages and microaneurysms. This study has presented a CNN-based framework to analyze the retina fundus images for detection of pathologic signs indicative of DR: exudate, hemorrhage and microaneurysm. The second strength of this study is that fundus images were analyzed using both, patch and image . . .
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