Lesion Localization in OCT by Semi-Supervised Object Detection

no code implementations • 24 Apr 2022 • Yue Wu, Yang Zhou, Jianchun Zhao, Jingyuan Yang, Weihong Yu, Youxin Chen, Xirong Li

Over 300 million people worldwide are affected by various retinal diseases.

object-detection Object Detection +1

Multi-Modal Multi-Instance Learning for Retinal Disease Recognition

no code implementations • 25 Sep 2021 • Xirong Li, Yang Zhou, Jie Wang, Hailan Lin, Jianchun Zhao, Dayong Ding, Weihong Yu, Youxin Chen

We propose in this paper Multi-Modal Multi-Instance Learning (MM-MIL) for selectively fusing CFP and OCT modalities.

Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization

1 code implementation • 3 Dec 2020 • Weisen Wang, Xirong Li, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Dayong Ding, Youxin Chen

Our MM-CNN is instantiated by a two-stream CNN, with spatially-invariant fusion to combine information from the CFP and OCT streams.

Data Augmentation Image-to-Image Translation

Learn to Segment Retinal Lesions and Beyond

1 code implementation • 25 Dec 2019 • Qijie Wei, Xirong Li, Weihong Yu, Xiao Zhang, Yongpeng Zhang, Bojie Hu, Bin Mo, Di Gong, Ning Chen, Dayong Ding, Youxin Chen

This paper attacks the three challenges in the context of diabetic retinopathy (DR) grading.

General Classification Image Classification +4

Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization

1 code implementation • 28 Jul 2019 • Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li

The CNN's fusion layer is tailored to the need of fusing information from the fundus and OCT streams.