Dec 29, 2015 · This algorithm does not focus on individual images: it considers examination records consisting of multiple photographs of each retina, together ...

This multigranular representation allows for great flexibility in automatically characterizing normality and abnormality: it is possible to generate diagnosis ...

This algorithm does not focus on individual images: it considers examination records consisting of multiple photographs of each retina, together with contextual ...

Specifically, it relies on data mining in order to learn diagnosis rules from characterizations of fundus examination records. The main novelty is that the ...

Automatic detection of referral patients due to retinal pathologies through data mining · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...

The study in [46] combined normal and abnormal retinal features with the patient's contextual information at adaptive granularity levels through data mining ...

Its goal is to reduce the burden on ophthalmologists by automatically detecting non referable examination records, i.e. examination records presenting no image ...

Automatic detection of referral patients due to retinal pathologies through data mining. Med Image Anal 29, 47–64. Russakovsky, O., Deng, J., Su, H., Krause ...

Apr 18, 2023 · Automatic detection of diabetic retinopathy using image processing and data mining techniques; Proceedings of the 2015 International ...