Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

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P1476

Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation

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P2093

Albert Assad

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Andrew J Plassard

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Bennett A Landman

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Ilwoo Lyu

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Meg F Bobo

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Melissa A Hilmes

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Richard G Abramson

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Shunxing Bao

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Yuang Yao

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Yuankai Huo

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P2860

Deep learning

Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly

Assessing splenomegaly: automated volumetric analysis of the spleen.

Multi-Atlas Spleen Segmentation on CT Using Adaptive Context Learning.

Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.

Multi-atlas segmentation with joint label fusion and corrective learning-an open source implementation.

The medical imaging interaction toolkit.

MRF-based deformable registration and ventilation estimation of lung CT.

Spleen size: how well do linear ultrasound measurements correlate with three-dimensional CT volume assessments?

P31

scholarly article

P356

10.1117/12.2293751

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P478

10574

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P50

John Virostko

P577

2018-03-01T00:00:00Z

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P698

29887665

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P921

convolutional neural network

P932

5992909

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