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Retinal Fluid Segmentation and Detection in Optical Coherence Tomography
  Images using Fully Convolutional Neural Network

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

13 October 2017
Donghuan Lu
M. Heisler
Sieun Lee
G. Ding
M. Sarunic
M. Beg
ArXivPDFHTML

Papers citing "Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network"

2 / 2 papers shown
Title
Deep learning achieves perfect anomaly detection on 108,308 retinal
  images including unlearned diseases
Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases
Ayaka Suzuki
Yoshiro Suzuki
MedIm
11
3
0
13 Jan 2020
A Deep Learning Approach to Denoise Optical Coherence Tomography Images
  of the Optic Nerve Head
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
S. Devalla
Giridhar Subramanian
T. Pham
Xiaofei Wang
S. Perera
T. A. Tun
Tin Aung
L. Schmetterer
Alexandre Hoang Thiery
M. Girard
14
89
0
27 Sep 2018
1