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Python code for Model 1 used to predict FAZ length from B-scan OCT images.

Python code for Model 1 used to predict FAZ length from B-scan OCT images.

<p>Python code for Model 1 used to predict FAZ length from B-scan OCT images.</p>

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Bibliographic Details
Main Author: Taku Toyama (102864) (author)
Other Authors: Ichiro Maruko (3146337) (author), Han Peng Zhou (10178365) (author), Miki Ikeda (20435921) (author), Taiji Hasegawa (4397656) (author), Tomohiro Iida (259175) (author), Makoto Aihara (153475) (author), Takashi Ueta (102880) (author)
Published: 2024
Subjects:
Medicine
Cell Biology
Biotechnology
Science Policy
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
providing new insights
foveal avascular zone
models ’ performance
model 2 ’
5 lines ).
model 3 converted
model 3 achieved
model 1 achieved
actual faz areas
using oct images
scan images used
model 2 estimated
correlation coefficient rising
5 horizontal measurements
predict octa data
2 </ sup
model 1 predicted
predicting faz area
scan images
horizontal measurements
subsequently estimated
performance improved
octa imaging
95 ).
1 line
faz length
faz area
oct b
xlink ">
narrower limits
findings demonstrate
developmental mechanisms
decreasing biases
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