Contrast Limited Adaptive Histogram Equalization
PulseAugur coverage of Contrast Limited Adaptive Histogram Equalization — every cluster mentioning Contrast Limited Adaptive Histogram Equalization across labs, papers, and developer communities, ranked by signal.
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New deep learning model grades diabetic retinopathy with cross-domain challenges
Researchers have developed a novel deep learning framework designed to grade diabetic retinopathy (DR), a leading cause of preventable blindness. The system utilizes a dual-resolution approach with two EfficientNet back…
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AI models for MRI segmentation show limited generalisability despite intensity normalisation
Researchers conducted a systematic benchmark of seven intensity normalization methods for 3D knee MRI segmentation using a 3D U-Net model. The study found that while methods like Z-score, Nyúl histogram matching, and CL…
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New CLAHE pipeline enhances retinal images for improved diagnosis
Researchers have developed a novel two-stage image enhancement pipeline for retinal fundus images, combining luminosity correction with Contrast Limited Adaptive Histogram Equalization (CLAHE). This method specifically …
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TrOCR adapted for medieval manuscript recognition, study finds
Researchers have explored adapting the TrOCR model for handwritten text recognition (HTR) on medieval manuscripts, a task complicated by the model's pre-training on modern text. Through controlled experiments on a 13th-…
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AI models achieve high accuracy in brain tumor classification and segmentation
Researchers have developed two distinct deep learning frameworks for brain tumor analysis using MRI scans. One framework utilizes a Vision Transformer (ViT-B/16) for automated four-class tumor classification, achieving …