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Embedded deep learning in ophthalmology: Making ophthalmic imaging
  smarter

Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter

13 October 2018
Petteri Teikari
Raymond P. Najjar
L. Schmetterer
D. Milea
    MedIm
ArXivPDFHTML

Papers citing "Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter"

3 / 3 papers shown
Title
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation
Javier Civit-Masot
Francisco Luna-Perejón
José María Rodríguez Corral
M. Domínguez-Morales
Arturo Morgado-Estévez
A. C. Balcells
24
38
0
26 Jul 2022
Application of Deep Learning in Fundus Image Processing for Ophthalmic
  Diagnosis -- A Review
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
S. Sengupta
Amitojdeep Singh
Henry A. Leopold
T. Gulati
Vasudevan Lakshminarayanan
MedIm
16
128
0
09 Dec 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
280
10,613
0
19 Feb 2017
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