38 citations · 58 across the 11 of their papers we have counts for
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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…
cs.CV2023★ 12 cited
Learnable Ophthalmology SAM
Zhongxi Qiu, Yan Hu, Heng Li +1
Segmentation is vital for ophthalmology image analysis. But its various modal images hinder most of the existing segmentation algorithms applications, as they rely on training base…
cs.CV2023★ 1 cited
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
Xiaoqing Zhang, Zunjie Xiao, Xiao Wu +4
Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency…