Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity

no code implementations • 18 Oct 2022 • Gitaek Kwon, Eunjin Kim, Sunho Kim, Seongwon Bak, Minsung Kim, Jaeyoung Kim

Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optical coherence tomography angiography (UW-OCTA) has been used in clinical practices to detect signs of early DR.

Data Augmentation Ensemble Learning +2

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

no code implementations • 16 Feb 2022 • Huihui Fang, Fei Li, Huazhu Fu, Xu sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenole Quellec, Sarah Matta, Sharath M Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu, iChallenge-AMD study group

The ADAM challenge consisted of four tasks which cover the main aspects of detecting and characterizing AMD from fundus images, including detection of AMD, detection and segmentation of optic disc, localization of fovea, and detection and segmentation of lesions.

Characterizing entanglement using quantum discord over state extensions

no code implementations • 7 Dec 2020 • Chunhe Xiong, Sunho Kim, Daowen Qiu

In particular, we show that the minimal Bures distance of discord over state extensions is equivalent to Bures distance of entanglement.

Quantum Physics

Synthesis of Brain Tumor MR Images for Learning Data Augmentation

1 code implementation • 17 Mar 2020 • Sunho Kim, Byungjai Kim, HyunWook Park

Deep neural networks are trained by learning data.

Data Augmentation Medical Image Analysis