title: Hybrid fuzzy image processing for situation assessment.
authors.affiliation: National Research Center for Environment and Health, Medis, Neuherberg, Germany. zahlmann@gsf.de
authors.forename: G
authors.initials: G
authors.lastname: Zahlmann
authors.forename: B
authors.initials: B
authors.lastname: Kochner
authors.forename: I
authors.initials: I
authors.lastname: Ugi
authors.forename: D
authors.initials: D
authors.lastname: Schuhmann
authors.forename: B
authors.initials: B
authors.lastname: Liesenfeld
authors.forename: A
authors.initials: A
authors.lastname: Wegner
authors.forename: M
authors.initials: M
authors.lastname: Obermaier
authors.forename: M
authors.initials: M
authors.lastname: Mertz
mesh_terms: D000465:Algorithms; D000869:Anterior Eye Segment / Q000473:pathology; D001185:Artificial Intelligence; D048909:Diabetes Complications; D003930:Diabetic Retinopathy / Q000175:diagnosis* / Q000601:surgery; D003936:Diagnosis, Computer-Assisted; D005122:Exudates and Transudates; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007429:Intraocular Pressure / Q000502:physiology; D009898:Optic Disk / Q000473:pathology; D010363:Pattern Recognition, Automated; D012160:Retina / Q000473:pathology; D012171:Retinal Vessels / Q000473:pathology; D014792:Visual Acuity / Q000502:physiology