3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes

3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes

Accurate segmentation is an essential task when working with medical images. Recently, deep convolutional neural networks achieved a state-of-the-art performance for many segmentation benchmarks. Regardless of the network architecture, the deep learning-based segmentation methods view the segmentati...

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Bibliographic Details
Main Authors: Yanwu Xu, Mingming Gong, Junxiang Chen, Ziye Chen, Kayhan Batmanghelich
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Neuroscience
Subjects:
brain tumor segmentation
deep learning
weakly-supervised
3D bounding box
positive-unlabeled learning
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00350/full

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