2022
DOI: 10.1016/j.jacc.2022.03.076
|View full text |Cite
|
Sign up to set email alerts
|

TCTAP A-053 Multilayer Convolutional Neural Network Computer Vision Is Effective in Automatic OCT Image Processing.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…In the back propagation stage, the objective function is employed to measure the deviation between the actual value of the output and the corresponding predicted value, and the weights and deviations are updated. CNNs have been developed rapidly, achieving unprecedented accuracy in target classification and recognition based on computer vision, [77][78][79][80] object detection, 81 and scene analysis. 82 This has successfully solved some issues in multiple research directions, including image classification, image semantic segmentation, video tracking, and speech analysis.…”
Section: Memristor-based Neural Networkmentioning
confidence: 99%
“…In the back propagation stage, the objective function is employed to measure the deviation between the actual value of the output and the corresponding predicted value, and the weights and deviations are updated. CNNs have been developed rapidly, achieving unprecedented accuracy in target classification and recognition based on computer vision, [77][78][79][80] object detection, 81 and scene analysis. 82 This has successfully solved some issues in multiple research directions, including image classification, image semantic segmentation, video tracking, and speech analysis.…”
Section: Memristor-based Neural Networkmentioning
confidence: 99%