activity
20192023
most citedGAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

74 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 2 cited

DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object Segmentation

Xiaohua Jiang, Yihao Guo, Jian Huang +9

The precise spatial and quantitative delineation of indistinct-boundary medical objects is paramount for the accuracy of diagnostic protocols, efficacy of surgical interventions, a…

eess.IV2021★ 1 cited

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images

Yibao Sun, Giussepi Lopez, Yaqi Wang +3

Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment. However, factors like vague boun…

cs.CV2021★ 5 cited

Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings

Yibao Sun, Xingru Huang, Yaqi Wang +2

The classification of histopathological images is of great value in both cancer diagnosis and pathological studies. However, multiple reasons, such as variations caused by magnific…

cs.CV2021

SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images

Yibao Sun, Xingru Huang, Huiyu Zhou +1

The detection of nuclei and cells in histology images is of great value in both clinical practice and pathological studies. However, multiple reasons such as morphological variatio…

cs.CV2019★ 74 cited

GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

Zhaoyang Xu, Xingru Huang, Carlos Fernández Moro +2

Histopathological cancer diagnosis is based on visual examination of stained tissue slides. Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide. It is eas…