Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks
Publication
, Conference
Hu, Z; Wang, Z; Abdelfattah, NS; Sadda, J; Sadda, SR
Published in: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
2018
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
2018
Volume
59
Issue
9
Related Subject Headings
- Ophthalmology & Optometry
- 3212 Ophthalmology and optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Hu, Z., Wang, Z., Abdelfattah, N. S., Sadda, J., & Sadda, S. R. (2018). Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (Vol. 59).
Hu, Zhihong, Ziyuan Wang, Nizar Saleh Abdelfattah, Jaya Sadda, and Srinivas R. Sadda. “Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks.” In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, Vol. 59, 2018.
Hu Z, Wang Z, Abdelfattah NS, Sadda J, Sadda SR. Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2018.
Hu, Zhihong, et al. “Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks.” INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 59, no. 9, 2018.
Hu Z, Wang Z, Abdelfattah NS, Sadda J, Sadda SR. Automated Geographic Atrophy Segmentation in Infrared Reflectance Images Using Deep Convolutional Neural Networks. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2018.
Published In
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
EISSN
1552-5783
ISSN
0146-0404
Publication Date
2018
Volume
59
Issue
9
Related Subject Headings
- Ophthalmology & Optometry
- 3212 Ophthalmology and optometry
- 11 Medical and Health Sciences
- 06 Biological Sciences