14 citations · 15 across the 18 of their papers we have counts for
4 papers · 1 filter
DeepRFTv2: Kernel-level Learning for Image Deblurring
Xintian Mao, Haofei Song, Yin-Nian Liu +2
It is well-known that if a network aims to learn how to deblur, it should understand the blur process. Blurring is naturally caused by the convolution of the sharp image with the b…
Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification
Hang Guo, Qing Zhang, Zixuan Gao +6
Accurate prediction of placental diseases via whole slide images (WSIs) is critical for preventing severe maternal and fetal complications. However, WSI analysis presents significa…
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
Ling Zhang, Boxiang Yun, Qingli Li +1
Automated pathology report generation from Whole Slide Images (WSIs) faces two key challenges: (1) lack of semantic content in visual features and (2) inherent information redundan…
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
Shijie Lin, Boxiang Yun, Wei Shen +3
Medical Hyperspectral Imaging (MHSI) offers potential for computational pathology and precision medicine. However, existing CNN and Transformer struggle to balance segmentation acc…