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1.
Eur J Ophthalmol ; 21(6): 834-6, 2011.
Article in English | MEDLINE | ID: mdl-21607929

ABSTRACT

PURPOSE: A case of Phialemonium curvatum wound corneal infection after phacoemulsification is reported. METHODS: Case report. RESULTS: The marked aggressiveness of this fungus is demonstrated by the absence of therapeutic response to both medical and surgical treatment. CONCLUSIONS: The poor outcome resulted in evisceration of the affected eye.


Subject(s)
Corneal Diseases/microbiology , Eye Infections, Fungal/microbiology , Mitosporic Fungi/isolation & purification , Phacoemulsification , Surgical Wound Infection/microbiology , Aged, 80 and over , Antifungal Agents/therapeutic use , Corneal Diseases/diagnosis , Corneal Diseases/therapy , DNA, Fungal/analysis , Eye Evisceration , Eye Infections, Fungal/diagnosis , Eye Infections, Fungal/therapy , Humans , Male , Mitosporic Fungi/genetics , Surgical Wound Infection/diagnosis , Surgical Wound Infection/therapy , Visual Acuity
2.
Comput Biol Med ; 40(2): 124-37, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20045104

ABSTRACT

The identification of some important retinal anatomical regions is a prerequisite for the computer aided diagnosis of several retinal diseases. In this paper, we propose a new adaptive method for the automatic segmentation of the optic disk in digital color fundus images, using mathematical morphology. The proposed method has been designed to be robust under varying illumination and image acquisition conditions, common in eye fundus imaging. Our experimental results based on two publicly available eye fundus image databases are encouraging, and indicate that our approach potentially can achieve a better performance than other known methods proposed in the literature. Using the DRIVE database (which consists of 40 retinal images), our method achieves a success rate of 100% in the correct location of the optic disk, with 41.47% of mean overlap. In the DIARETDB1 database (which consists of 89 retinal images), the optic disk is correctly located in 97.75% of the images, with a mean overlap of 43.65%.


Subject(s)
Fundus Oculi , Image Interpretation, Computer-Assisted/methods , Optic Disk/anatomy & histology , Algorithms , Databases, Factual , Diabetic Retinopathy/pathology , Humans , Microvessels/anatomy & histology , Optic Disk/blood supply , Optic Disk/pathology , Retinal Diseases/diagnosis , Retinal Diseases/pathology , Software Design
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