Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region.

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Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

@zh-my

2017年学术文章

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2017年學術文章

@yue

2017年學術文章

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2017年學術文章

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name

Automated prediction of emphys ...... f low-attenuation lung region.

@ast

Automated prediction of emphys ...... f low-attenuation lung region.

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type

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label

Automated prediction of emphys ...... f low-attenuation lung region.

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Automated prediction of emphys ...... f low-attenuation lung region.

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prefLabel

Automated prediction of emphys ...... f low-attenuation lung region.

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Automated prediction of emphys ...... f low-attenuation lung region.

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P1476

Automated prediction of emphys ...... f low-attenuation lung region.

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P2093

Kaori Togashi

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Kazuaki Nakane

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Masahiro Yakami

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Mizuho Nishio

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Takeshi Kubo

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Yutaka Emoto

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Emphysema detected on computed tomography and risk of lung cancer: a systematic review and meta-analysis.

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Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease.

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.

Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.

Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression.

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A combined pulmonary-radiology workshop for visual evaluation of COPD: study design, chest CT findings and concordance with quantitative evaluation.

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e0178217

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scholarly article

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10.1371/JOURNAL.PONE.0178217

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English

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P478

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Mari Nishio

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2017-05-25T00:00:00Z

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28542398

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P921

automation

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5444793

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