JP2017532998A5 - - Google Patents

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Publication number
JP2017532998A5
JP2017532998A5 JP2017513516A JP2017513516A JP2017532998A5 JP 2017532998 A5 JP2017532998 A5 JP 2017532998A5 JP 2017513516 A JP2017513516 A JP 2017513516A JP 2017513516 A JP2017513516 A JP 2017513516A JP 2017532998 A5 JP2017532998 A5 JP 2017532998A5
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Japan
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interest
tissue
image
changes
pair
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JP2017513516A
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Japanese (ja)
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JP6865678B2 (ja
JP2017532998A (ja
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Priority claimed from PCT/IB2015/057433 external-priority patent/WO2016059493A1/en
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Publication of JP2017532998A5 publication Critical patent/JP2017532998A5/ja
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JP2017513516A 2014-10-13 2015-09-29 縦断的特徴に基づく関心組織の健康状態の分類 Active JP6865678B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462062977P 2014-10-13 2014-10-13
US62/062,977 2014-10-13
PCT/IB2015/057433 WO2016059493A1 (en) 2014-10-13 2015-09-29 Classification of a health state of tissue of interest based on longitudinal features

Publications (3)

Publication Number Publication Date
JP2017532998A JP2017532998A (ja) 2017-11-09
JP2017532998A5 true JP2017532998A5 (enExample) 2018-11-08
JP6865678B2 JP6865678B2 (ja) 2021-04-28

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JP2017513516A Active JP6865678B2 (ja) 2014-10-13 2015-09-29 縦断的特徴に基づく関心組織の健康状態の分類

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US (2) US10219767B2 (enExample)
EP (1) EP3206565A1 (enExample)
JP (1) JP6865678B2 (enExample)
CN (1) CN107072613B (enExample)
BR (1) BR112017007383A2 (enExample)
RU (1) RU2017116859A (enExample)
WO (1) WO2016059493A1 (enExample)

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CN109376419B (zh) * 2018-10-16 2023-12-22 北京字节跳动网络技术有限公司 一种数据模型的生成方法、装置、电子设备及可读介质
US10811135B2 (en) * 2018-12-27 2020-10-20 General Electric Company Systems and methods to determine disease progression from artificial intelligence detection output
DE102019211536A1 (de) * 2019-08-01 2021-02-04 Siemens Healthcare Gmbh Automatische Lokalisierung einer Struktur
CN111784705B (zh) * 2020-06-24 2024-04-02 上海联影医疗科技股份有限公司 感兴趣区域的勾画方法、装置、设备和存储介质
CN112472346B (zh) * 2020-11-26 2021-12-24 南通市第二人民医院 一种基于大数据的牙龈保护方法和装置
US12315160B2 (en) * 2022-03-16 2025-05-27 Optellum Limited Method and apparatus to predict feature state change within an image

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