Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans

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Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans

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bilimsel makale

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scientific article published on 31 October 2016

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Evaluation of Semi-automatic S ...... dules on Thin-Section CT Scans

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Evaluation of Semi-automatic S ...... ules on Thin-Section CT Scans.

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Evaluation of Semi-automatic S ...... dules on Thin-Section CT Scans

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Evaluation of Semi-automatic S ...... ules on Thin-Section CT Scans.

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Evaluation of Semi-automatic S ...... dules on Thin-Section CT Scans

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Evaluation of Semi-automatic S ...... ules on Thin-Section CT Scans.

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P1476

Evaluation of Semi-automatic S ...... dules on Thin-Section CT Scans

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P2093

Chang Min Park

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Kwang Gi Kim

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Seung Hyun Lee

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Young Jae Kim

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Nodular ground-glass opacity at thin-section CT: histologic correlation and evaluation of change at follow-up.

Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons.

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Subsolid pulmonary nodules and the spectrum of peripheral adenocarcinomas of the lung: recommended interim guidelines for assessment and management.

A fast marching level set method for monotonically advancing fronts.

P304

305-315

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P31

scholarly article

P356

10.4258/HIR.2016.22.4.305

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P433

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

P478

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

P577

2016-10-31T00:00:00Z

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27895963

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P921

automation

ground glass opacity

P932

5116543

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