Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
PulseAugur coverage of Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms — every cluster mentioning Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms across labs, papers, and developer communities, ranked by signal.
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CNNs rely on pixel intensity over texture for vascular imaging
A new research paper explores how Convolutional Neural Networks (CNNs) interpret visual information for vascular segmentation in microscopy and fundus imaging. The study found that pixel intensity is more crucial than t…
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New VLM enhances diabetic retinopathy AI explainability
Researchers have developed HSQ-VLM, a new vision-language model designed to improve the explainability of AI diagnostics for diabetic retinopathy. This model uses a novel quadrant segmentation pipeline with Landmark-Anc…
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AI Synthesizes Retinal Angiography Using Multi-Modal Imaging
Researchers have developed a new framework to synthesize fluorescein angiography (FFA) from fundus images and optical coherence tomography (OCT) scans. This method addresses limitations of previous approaches that relie…