most citedLearn to Segment Retinal Lesions and Beyond

3 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis

Lu Zhang, Huizhen Yu, Zuowei Wang +4

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic…

cs.CV2026

Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases

Jinze Zhang, Jian Zhong, Li Lin +18

Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in…

cs.CV2019★ 3 cited

Learn to Segment Retinal Lesions and Beyond

Qijie Wei, Xirong Li, Weihong Yu +8

Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…