Dataset Information

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

ABSTRACT: Automatic liver tumor segmentation would have a big impact on liver therapy planning procedures and follow-up assessment, thanks to standardization and incorporation of full volumetric information. In this work, we develop a fully automatic method for liver tumor segmentation in CT images based on a 2D fully convolutional neural network with an object-based postprocessing step. We describe our experiments on the LiTS challenge training data set and evaluate segmentation and detection performance. Our proposed design cascading two models working on voxel- and object-level allowed for a significant reduction of false positive findings by 85% when compared with the raw neural network output. In comparison with the human performance, our approach achieves a similar segmentation quality for detected tumors (mean Dice 0.69 vs. 0.72), but is inferior in the detection performance (recall 63% vs. 92%). Finally, we describe how we participated in the LiTS challenge and achieved state-of-the-art performance.

SUBMITTER: Chlebus G

PROVIDER: S-EPMC6195599 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

Chlebus Grzegorz G Schenk Andrea A Moltz Jan Hendrik JH van Ginneken Bram B Hahn Horst Karl HK Meine Hans H

Scientific reports 20181019 1

Automatic liver tumor segmentation would have a big impact on liver therapy planning procedures and follow-up assessment, thanks to standardization and incorporation of full volumetric information. In this work, we develop a fully automatic method for liver tumor segmentation in CT images based on a 2D fully convolutional neural network with an object-based postprocessing step. We describe our experiments on the LiTS challenge training data set and evaluate segmentation and detection performance ...[more]

PMID: 30341319

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Dataset Information

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

Publications

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.

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