Classifying DME vs normal SD-OCT volumes: A review
This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a...
Saved in:
Main Authors: | Massich, J., Rastgoo, M., Lemaître, G., Cheung, C.Y., Wong, T.Y., Sidibé, D., Mériaudeau, F. |
---|---|
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019112491&doi=10.1109%2fICPR.2016.7899816&partnerID=40&md5=5f595f427e72ba56e60014febb1f6116 http://eprints.utp.edu.my/20097/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
by: Sidibé, D., et al.
Published: (2017) -
Classification of retinal cysts on sd-oct images using stacked auto-encoder
by: Alsaih, K, et al.
Published: (2018) -
How SD-OCT is changing our view of DME
by: Salam, Adzura, et al.
Published: (2010) -
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes
by: Perdomo, O., et al.
Published: (2018) -
Transfer learning for diabetic macular edema (DME) detection on optical coherence tomography (OCT) images
by: Chan, Genevieve CY, et al.
Published: (2017)