17 citations · 25 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Misdirected Registration Uncertainty
Jie Luo, Karteek Popuri, Dana Cobzas +3
Being a task of establishing spatial correspondences, medical image registration is often formalized as finding the optimal transformation that best aligns two images. Since the tr…
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…