Evaluation of generative adversarial networks for high-resolution synthetic image generation of circumpapillary optical coherence tomography images for glaucoma
Importance Deep learning (DL) networks require large data sets for training, which can be
challenging to collect clinically. Generative models could be used to generate large …
challenging to collect clinically. Generative models could be used to generate large …
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for …
SK AJ, RS Chong, JG Crowston, J Chua… - JAMA …, 2022 - europepmc.org
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation
of Circumpapillary Optical Coherence Tomography Images for Glaucoma. - Abstract - Europe …
of Circumpapillary Optical Coherence Tomography Images for Glaucoma. - Abstract - Europe …
[PDF][PDF] Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for …
AJS Kumar, RS Chong, JG Crowston, J Chua, I Bujor… - oar.a-star.edu.sg
OBJECTIVE To assess whether generative models can synthesize circumpapillary optic
nerve head OCT images of normal and glaucomatous eyes and determine the usability of …
nerve head OCT images of normal and glaucomatous eyes and determine the usability of …
[HTML][HTML] Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for …
AJS Kumar, RS Chong, JG Crowston, J Chua… - JAMA …, 2022 - ncbi.nlm.nih.gov
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image
Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma - PMC …
Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma - PMC …
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for …
AJS Kumar, RS Chong, JG Crowston… - JAMA …, 2022 - pubmed.ncbi.nlm.nih.gov
Importance Deep learning (DL) networks require large data sets for training, which can be
challenging to collect clinically. Generative models could be used to generate large …
challenging to collect clinically. Generative models could be used to generate large …
Evaluation of generative adversarial networks for high-resolution synthetic image generation of circumpapillary optical coherence tomography images for glaucoma
AJ Sreejith Kumar, RS Chong, JG Crowston… - JAMA …, 2022 - dr.ntu.edu.sg
Importance: Deep learning (DL) networks require large data sets for training, which can be
challenging to collect clinically. Generative models could be used to generate large …
challenging to collect clinically. Generative models could be used to generate large …
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for …
SK AJ, RS Chong, JG Crowston, J Chua… - JAMA …, 2022 - europepmc.org
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation
of Circumpapillary Optical Coherence Tomography Images for Glaucoma. - Abstract - Europe …
of Circumpapillary Optical Coherence Tomography Images for Glaucoma. - Abstract - Europe …