184 citations · 304 across the 5 of their papers we have counts for
5 papers
Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Ziniu Qian, Kailu Li, Maode Lai +4
Hispathological image segmentation algorithms play a critical role in computer aided diagnosis technology. The development of weakly supervised segmentation algorithm alleviates th…
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric I-Chao Chang +3
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation,…
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu, Yang Li, Yipei Wang +4
Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not…
Gland Instance Segmentation by Deep Multichannel Neural Networks
Yan Xu, Yang Li, Mingyuan Liu +4
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu, Yang Li, Mingyuan Liu +3
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…