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1
المؤلفون: Bart M. ter Haar Romeny, Behdad Dashtbozorg, Tao Tan, Fan Huang
المساهمون: Medical Image Analysis
المصدر: Computer Methods and Programs in Biomedicine, 161, 197-207. Elsevier Ireland Ltd
مصطلحات موضوعية: Power graph analysis, Computer science, Image quality, Image Processing, Retinal Artery, 02 engineering and technology, Fundus (eye), Pattern Recognition, Automated, 030218 nuclear medicine & medical imaging, Machine Learning, chemistry.chemical_compound, 0302 clinical medicine, Models, Image Processing, Computer-Assisted, Computer-Assisted/methods, 0202 electrical engineering, electronic engineering, information engineering, Image resolution, Statistical, Computer Science Applications, Feature (computer vision), cardiovascular system, 020201 artificial intelligence & image processing, Artifacts, Algorithms, Automated, Image Processing, Computer-Assisted/methods, Artery/vein classification, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, Feature selection, Pattern Recognition, Sensitivity and Specificity, 03 medical and health sciences, Humans, False Positive Reactions, Retinal Vein/diagnostic imaging, Probability, Electronic Data Processing, Models, Statistical, Pixel, business.industry, Retinal Artery/diagnostic imaging, Fundus image, Reproducibility of Results, Pattern recognition, Retinal, Retinal Vein, Genetic search feature selection, chemistry, Programming Languages, Artificial intelligence, Focus (optics), business, Software
وصف الملف: application/pdf
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2
المؤلفون: Thomas Lee Torp, Søren Leer Blindbæk, Jakob Grauslund, Tunde Peto
المصدر: Torp, T L, Peto, T, Grauslund, J & Blindbaek, S L 2018, ' Venous loops : a benign feature of diabetic retinopathy or cause for concern? ', Acta Ophthalmologica, vol. 96, no. 2, pp. e261 . https://doi.org/10.1111/aos.13507
مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Pathology, Retinal Vein, Adolescent, Fundus Oculi, Fluorescein Angiography/methods, Young Adult, Text mining, Ophthalmology, Medicine, Humans, Young adult, Fluorescein Angiography, Child, Retinal Vein/diagnostic imaging, Aged, Diabetic Retinopathy, medicine.diagnostic_test, business.industry, Disease progression, General Medicine, Diabetic retinopathy, Middle Aged, medicine.disease, Fluorescein angiography, Diabetic Retinopathy/diagnosis, Feature (computer vision), Child, Preschool, Disease Progression, Female, business
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المؤلفون: Isik C, Yagci B, Yildirim C, Yaylali V, Tatlipinar S, Ozden S
مصطلحات موضوعية: genetic structures, sense organs, Adult, Behcet Syndrome/*complications/*diagnostic imaging/physiopathology, Blood Flow Velocity, Diastole, Eye Diseases/*etiology, Female, Humans, Male, Middle Aged, Ophthalmic Artery/diagnostic imaging/physiopathology, Orbit/*blood supply/*diagnostic imaging, Prospective Studies, Retinal Artery/diagnostic imaging/physiopathology, Retinal Vein/diagnostic imaging/physiopathology, Systole, Ultrasonography, Doppler, Color, Vascular Resistance, eye diseases
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3566::56b41b0c1912d2398c9fa21b63c13408
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4مورد إلكتروني
المصدر: Computer Methods and Programs in Biomedicine vol.161 (2018) date: 2018-07-01 p.197-207 [ISSN 0169-2607]
مصطلحات الفهرس: Artery/vein classification, Fundus image, Genetic search feature selection, Reproducibility of Results, Humans, Retinal Vein/diagnostic imaging, Probability, Electronic Data Processing, Retinal Artery/diagnostic imaging, Models, Statistical, False Positive Reactions, Machine Learning, Artifacts, Algorithms, Sensitivity and Specificity, Image Processing, Computer-Assisted/methods, Programming Languages, Pattern Recognition, Automated, Tijdschriftartikel, Article
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5مورد إلكتروني
المصدر: Computer Methods and Programs in Biomedicine vol.161 (2018) date: 2018-07-01 p.197-207 [ISSN 0169-2607]
مصطلحات الفهرس: Artery/vein classification, Fundus image, Genetic search feature selection, Reproducibility of Results, Humans, Retinal Vein/diagnostic imaging, Probability, Electronic Data Processing, Retinal Artery/diagnostic imaging, Models, Statistical, False Positive Reactions, Machine Learning, Artifacts, Algorithms, Sensitivity and Specificity, Image Processing, Computer-Assisted/methods, Programming Languages, Pattern Recognition, Automated, Tijdschriftartikel, Article
URL:
https://research.tue.nl/en/publications/6e5556d9-e5f4-47e3-845e-1d05fd4dc4d3 https://pure.tue.nl/ws/files/98732106/1_s2.0_S0169260717312415_main.pdf https://pure.tue.nl/ws/files/98732106/1_s2.0_S0169260717312415_main.pdf