Concepedia

Automated machine learning–based classification of proliferative and non-proliferative diabetic retinopathy using optical coherence tomography angiography vascular density maps

Elias Khalili Pour, Khosro Rezaee, Hossein Azimi, Seyed Ali Mirshahvalad, Behzad Jafari, Kaveh Fadakar, Hooshang Faghihi, Ahmad Mirshahi, Fariba Ghassemi, Nazanin Ebrahimiadib,

Graefe s Archive for Clinical and Experimental Ophthalmology · 2022 · 22 citations · 44 references

Concepts

EngineeringMachine LearningMedical ImagingOphthalmologyVascular ImageMicrovascular DysfunctionDiabetesVascular ImagingComputer-aided DiagnosisBiostatisticsOptical Coherence TomographyNon-proliferative Diabetic RetinopathyMedical Image ComputingMedicine

References

44

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature · 2017 · 13K citations · Full text

Dermoscopic Image, Convolutional Neural Network, Deep Neural Networks +6

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9K citations

Artificial Intelligence, Game Ai, Cognitive Science +10

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.2K citations

A genetic algorithm tutorial

Darrell Whitley · Statistics and Computing · 1994 · 4.5K citations

Memetic Algorithm, Engineering, Genetic Algorithms +5

Photocoagulation for Diabetic Macular Edema

Archives of Ophthalmology · 1985 · 2.5K citations

Diabetic Retinopathy, Ocular Disease, Website Uses Cookies +9