An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD)
Publication
, Conference
Gao, Q; Amason, J; Del Risco, A; Pant, P; Lee, T; Ma, J; Chang-Wolf, JM; Rathinavelu, J; Kotla, A; Pajic, M; Hadziahmetovic, M
Published in: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
2022
Duke Scholars
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
2022
Volume
63
Issue
7
Related Subject Headings
- Ophthalmology & Optometry
- 3212 Ophthalmology and optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Gao, Q., Amason, J., Del Risco, A., Pant, P., Lee, T., Ma, J., … Hadziahmetovic, M. (2022). An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD). In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (Vol. 63).
Gao, Qitong, Joshua Amason, Amanda Del Risco, Praruj Pant, Terry Lee, Justin Ma, Jennifer Minjia Chang-Wolf, et al. “An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD).” In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, Vol. 63, 2022.
Gao Q, Amason J, Del Risco A, Pant P, Lee T, Ma J, et al. An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD). In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2022.
Gao, Qitong, et al. “An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD).” INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 63, no. 7, 2022.
Gao Q, Amason J, Del Risco A, Pant P, Lee T, Ma J, Chang-Wolf JM, Rathinavelu J, Kotla A, Pajic M, Hadziahmetovic M. An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD). INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2022.
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
2022
Volume
63
Issue
7
Related Subject Headings
- Ophthalmology & Optometry
- 3212 Ophthalmology and optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences