6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 6 cited
End-to-end detection-segmentation network with ROI convolution
Zichen Zhang, Min Tang, Dana Cobzas +3
We propose an end-to-end neural network that improves the segmentation accuracy of fully convolutional networks by incorporating a localization unit. This network performs object l…
cs.CV2017★ 1 cited
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang, Zichen Zhang, Dana Cobzas +2
We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-by-detection, is a cascade of a detection module followed by a segmentation modu…
cs.CV2017
A deep level set method for image segmentation
Min Tang, Sepehr Valipour, Zichen Vincent Zhang +2
This paper proposes a novel image segmentation approachthat integrates fully convolutional networks (FCNs) with a level setmodel. Compared with a FCN, the integrated method can inc…