JP2019518581A5 - - Google Patents

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JP2019518581A5
JP2019518581A5 JP2019516914A JP2019516914A JP2019518581A5 JP 2019518581 A5 JP2019518581 A5 JP 2019518581A5 JP 2019516914 A JP2019516914 A JP 2019516914A JP 2019516914 A JP2019516914 A JP 2019516914A JP 2019518581 A5 JP2019518581 A5 JP 2019518581A5
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plaque
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neural network
neural networks
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JP2019518581A (ja
JP7058264B2 (ja
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JP2019516914A 2016-06-08 2017-06-08 血管内光干渉断層撮影法を用いた冠動脈プラークの自動特徴分析およびリスク評価のためのシステムおよび方法 Expired - Fee Related JP7058264B2 (ja)

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JP2022064872A JP7383070B2 (ja) 2016-06-08 2022-04-11 血管内光干渉断層撮影法を用いた冠動脈プラークの自動特徴分析およびリスク評価のためのシステムおよび方法

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Application Number Priority Date Filing Date Title
US201662347379P 2016-06-08 2016-06-08
US62/347,379 2016-06-08
PCT/US2017/036587 WO2017214421A1 (en) 2016-06-08 2017-06-08 Systems and methods for automated coronary plaque characterization and risk assessment using intravascular optical coherence tomography

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JP2022064872A Division JP7383070B2 (ja) 2016-06-08 2022-04-11 血管内光干渉断層撮影法を用いた冠動脈プラークの自動特徴分析およびリスク評価のためのシステムおよび方法

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JP2019518581A JP2019518581A (ja) 2019-07-04
JP2019518581A5 true JP2019518581A5 (enExample) 2020-07-16
JP7058264B2 JP7058264B2 (ja) 2022-04-21

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JP2022064872A Active JP7383070B2 (ja) 2016-06-08 2022-04-11 血管内光干渉断層撮影法を用いた冠動脈プラークの自動特徴分析およびリスク評価のためのシステムおよび方法

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US (1) US12213810B2 (enExample)
EP (1) EP3468453B1 (enExample)
JP (2) JP7058264B2 (enExample)
KR (1) KR102531819B1 (enExample)
AU (1) AU2017277784B2 (enExample)
CA (1) CA3026650A1 (enExample)
WO (1) WO2017214421A1 (enExample)

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CN114424290B (zh) 2019-08-05 2023-07-25 光实验成像公司 用于提供冠状动脉钙负荷的纵向显示的装置和方法
KR102261111B1 (ko) * 2019-09-10 2021-06-04 인하대학교 산학협력단 Gan을 이용한 의료 영상의 광강도 분포 일반화 기법
WO2021199967A1 (ja) 2020-03-30 2021-10-07 テルモ株式会社 プログラム、情報処理方法、学習モデルの生成方法、学習モデルの再学習方法、および、情報処理システム
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