z-logo
open-access-imgOpen Access
Parameter tuning for CNN in diabetic retinopathy identification using eye fundus images
Author(s) -
Kaneez Fatima,
Mohammed Numan Sharaf,
Mohammed Taqiuddin Ansari,
Mohd Arbaaz Khan,
Syed Mohd Mujtaba Ali
Publication year - 2022
Publication title -
international journal of health sciences
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns5.9823
Subject(s) - computer science , diabetic retinopathy , convolutional neural network , tweaking , artificial intelligence , fundus (uterus) , merge (version control) , categorization , identification (biology) , computer vision , pattern recognition (psychology) , ophthalmology , medicine , diabetes mellitus , information retrieval , endocrinology , operating system , botany , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom