Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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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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Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

@en

Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

@en

Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

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P1476

Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT.

@en

P2093

Kun Young Lim

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Kwang Gi Kim

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Seung Hyun Lee

http://www.w3.org/2001/XMLSchema#string

Young Jae Kim

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P2860

Cancer statistics, 2014

New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)

Computer-aided diagnosis in medical imaging: historical review, current status and future potential

Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.

Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.

Chemotherapy in small cell lung cancer.

Lung cancer: computerized quantification of tumor response--initial results.

Computer-aided diagnosis: how to move from the laboratory to the clinic.

On the origin of the bilateral filter and ways to improve it.

Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria.

P2888

s10278-018-0051-5

P31

scholarly article

P356

10.1007/S10278-018-0051-5

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P577

2018-01-29T00:00:00Z

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P698

29380154

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P932

6113144

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