{'fraction_non_alphanumeric': 0.016877637130801686, 'fraction_numerical': 0.0, 'mean_word_length': 4.93, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Diabetic retinopathy analysis using CDR technique

Diabetes has become one of the rapidly increasing health threats worldwide. Diabetes occurs when the pancreas fails to secrete enough insulin, slowly affecting the retina of the human eye. As it progresses, the vision of a patient starts deteriorating, leading to diabetic retinopathy. The diabetic retinopathy is a micro vascular complication of diabetes, causing abnormalities in the retina, and in the worst case, blindness. Typically there are no salient symptoms in the early stages of diabetic retinopathy, but their number and severity predominantly increase with time. The early stage detection of diabetic retinopathy should be done. As detection appears in the early stage the level of the disease can be observed. The hardware developed will help to detect the level of DR. The implementation will be done using fundus images of retina of diabetic retinopathy patient. Preprocessing is done on image and level will be detected along it. Earlier the detection is done by taking the images and processing can be done on it. The project helps provide different stages of diabetic retinopathy, so as to cure it and diagnose it.