DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets

Due to the intensive cost of labor and expertise in annotating 3D medical images at a voxel level, most benchmark datasets are equipped with the annotations of only one type of organs and/or tumors, resulting in the so-called partially labeling issue. To address this issue, we propose a dynamic on-d...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 1195 - 1204
Hauptverfasser:	Zhang, Jianpeng, Xie, Yutong, Xia, Yong, Shen, Chunhua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2021
Schlagworte:	Annotations Encoding Head Image segmentation Labeling Task analysis Three-dimensional displays
ISSN:	1063-6919
Online-Zugang:	Volltext
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