Open AccessRecognition and Detection of Diabetic Retinopathy Using Densenet-65 Based Faster-RCNN
Author(s) -
Saleh Albahli,
Tahira Nazir,
Aun Irtaza,
Ali Javed
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.014691
Subject(s) - computer science , diabetic retinopathy , artificial intelligence , pattern recognition (psychology) , feature extraction , robustness (evolution) , feature engineering , retinopathy , deep learning , automation , machine learning , diabetes mellitus , medicine , endocrinology , mechanical engineering , biochemistry , chemistry , engineering , gene
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom