Multivariate regression based convolutional neural network model for fundus image quality assessment

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Impact: This work can have a major impact in the (remote) diagnosis of diabetic retinopathy.

Keywords

@article{8572e80231fb42fca7eccaf906ed9c7f,

title = "Multivariate regression based convolutional neural network model for fundus image quality assessment",

keywords = "Computer science and informatics",

author = "Shah, \{Nisarg A.\} and Tiwari, \{Anil Kumar\} and Martini, \{Maria G,\} and Aditya Raj",

note = "Impact: This work can have a major impact in the (remote) diagnosis of diabetic retinopathy.",

year = "2020",

month = mar,

day = "23",

doi = "10.1109/ACCESS.2020.2982588",

language = "English",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Multivariate regression based convolutional neural network model for fundus image quality assessment

AU - Shah, Nisarg A.

AU - Tiwari, Anil Kumar

AU - Martini, Maria G,

AU - Raj, Aditya

N1 - Impact: This work can have a major impact in the (remote) diagnosis of diabetic retinopathy.

PY - 2020/3/23

Y1 - 2020/3/23

KW - Computer science and informatics

U2 - 10.1109/ACCESS.2020.2982588

DO - 10.1109/ACCESS.2020.2982588

M3 - Article

SN - 2169-3536

JO - IEEE Access

JF - IEEE Access

ER -