most citedAssessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

19 citations · 22 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022★ 2 cited

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

ChengHui Yu, MingKang Tang, ShengGe Yang +7

Deep learning-based melanoma classification with dermoscopic images has recently shown great potential in automatic early-stage melanoma diagnosis. However, limited by the signific…

eess.IV2022★ 1 cited

Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction

Jiangpeng Yan, Chenghui Yu, Hanbo Chen +4

Recently, deep neural networks have greatly advanced undersampled Magnetic Resonance Image (MRI) reconstruction, wherein most studies follow the one-anatomy-one-network fashion, i.…