標題:恭賀醫學系4年級學生孫領駿(第1作者)論文研究，獲Graefe's Archive for Clinical and Experimental Ophthalmology期刊刊登
刊登日:2023/7/24內容
恭賀陳炳男教師指導的醫學系4年級學生孫領駿(第1作者)論文研究，獲Graefe's Archive for Clinical and Experimental Ophthalmology期刊刊登
Sun, L.-C., Pao, S.-I., Huang, K.-H., Wei, C.-Y., Lin, K.-F., Chen, P.-N.* Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images. Graefes Arch Clin Exp Ophthalmol. 2023;261(5):1399-1412. doi: 10.1007/s00417-022-05919-9. IF: 2.7 Ranking: 28/62(Q2)
Generative Adversarial Network-based Deep Learning Approach in Classification of Retinal Conditions with Optical Coherence Tomography Images
Ling-Chun Sun1; Shu-I Pao2; Ke-Hao Huang3; Chih-Yuan Wei4; Ke-Feng Lin5,6; Ping-Nan Chen7,*
1School of Medicine, National Defense Medical Center, Taiwan.
2Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taiwan.
3Department of Ophthalmology, Song-Shan Branch of Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
4Graduate Institute of Life Sciences, National Defense Medical Center, Taiwan
5Medical Informatics Office, Tri‑Service General Hospital, National Defense Medical Center, Taiwan
6School of Public Health, National Defense Medical Center, Taiwan
7Department of Biomedical Engineering, National Defense Medical Center, Taiwan
Corresponding Author: Ping-Nan Chen, Ph.D. Department of Biomedical Engineering, National Defense Medical Center, Taiwan. No.161, Sec.6, Minchiuan E. Rd., Neihu Dist, Taipei 11490, Taiwan.
g931310@gmail.com; g931310@mail.ndmctsgh.edu.tw. ORCID 0000-0001-6240-4340
Key Messages
As demonstrated in several studies, underdiagnosis of retinal conditions in professional healthcare practices is common.
Using generative adversarial networks to build synthesis-balanced datasets could foster more robust deep learning machines to aid physicians in making accurate and timely diagnoses.
Deep learning machines trained with a synthesis-balanced dataset present an edge over machines trained with an unbalanced dataset for the classification of retinal conditions with OCT images.
承辦人
陳炳男
連絡電話
18697