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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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 1195 - 1204
Hlavní autori:	Zhang, Jianpeng, Xie, Yutong, Xia, Yong, Shen, Chunhua
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2021
Predmet:	Annotations Encoding Head Image segmentation Labeling Task analysis Three-dimensional displays
ISSN:	1063-6919
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