Locally Adaptive Operators for Red Lesions Detection in Eye Fundus Images
One of the major features required by automated software tools of screening for diabetic retinopathy is the detection of red lesions. This paper presents a new automatic method in order to locate red lesions in color eye fundus images. The method relies on mathematical morphology operators and has a coarse and a fine detection stages, respectively. The former detection stage detects structures of low-intensity values in the retina, such as microaneurysms, hemorrhages, blood vessels and the fovea center. Additionally, the latter stage proposes to improve the detection of red lesions identified in the previous stage. For experiments, we use the well-known publicly available DIARETDB1 database. The results indicate that our method detected red lesions with 75.81% and 93.48% of mean sensitivity and mean specificity, respectively.
Diabetic Retinopathy Retina Microanuerysm
Luiza Dri Bagesteiro Daniel Welfer Marcos Cordeiro dOrnellas Juliano F.Kazienko Carlos Jesus Pereira Haygert Gustavo Nogara Dotto
Universidade Federal do Pampa,RS,Brasil Department of Applied Computing,Universidade Federal de Santa Maria,Santa Maria,RS,Brasil Colégio Técnico Industrial de Santa Maria,Universidade Federal de Santa Maria,Santa Maria,RS,Brasil Department of Clinical Medicine-Santa Maria University Hospital-Federal University of Santa Maria (U
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
289-293
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）