most citedEye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Label-noise-tolerant medical image classification via self-attention and self-supervised learning

Hongyang Jiang, Mengdi Gao, Yan Hu +3

Deep neural networks (DNNs) have been widely applied in medical image classification and achieve remarkable classification performance. These achievements heavily depend on large-s…

eess.IV2023★ 1 cited

Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection

Hongyang Jiang, Jingqi Huang, Chen Tang +3

Deep neural networks (DNNs) have promoted the development of computer aided diagnosis (CAD) systems for fundus diseases, helping ophthalmologists reduce missed diagnosis and misdia…