JP2020518396A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2020518396A5 JP2020518396A5 JP2019560392A JP2019560392A JP2020518396A5 JP 2020518396 A5 JP2020518396 A5 JP 2020518396A5 JP 2019560392 A JP2019560392 A JP 2019560392A JP 2019560392 A JP2019560392 A JP 2019560392A JP 2020518396 A5 JP2020518396 A5 JP 2020518396A5
- Authority
- JP
- Japan
- Prior art keywords
- computed tomography
- cteph
- tomography images
- person
- automatically
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000002591 computed tomography Methods 0.000 claims 12
- 208000026151 Chronic thromboembolic pulmonary hypertension Diseases 0.000 claims 10
- 208000002815 pulmonary hypertension Diseases 0.000 claims 10
- 238000000034 method Methods 0.000 claims 8
- 238000004590 computer program Methods 0.000 claims 3
- 238000005352 clarification Methods 0.000 claims 1
- 238000013500 data storage Methods 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17169079.5 | 2017-05-02 | ||
| EP17169079 | 2017-05-02 | ||
| PCT/EP2018/060732 WO2018202541A1 (de) | 2017-05-02 | 2018-04-26 | Verbesserungen bei der radiologischen erkennung chronisch thromboembolischer pulmonaler hypertonie |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2020518396A JP2020518396A (ja) | 2020-06-25 |
| JP2020518396A5 true JP2020518396A5 (enExample) | 2021-05-13 |
Family
ID=58672386
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019560392A Pending JP2020518396A (ja) | 2017-05-02 | 2018-04-26 | 慢性血栓塞栓性肺高血圧症の放射線学的特定における改善 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20200237331A1 (enExample) |
| EP (1) | EP3619631A1 (enExample) |
| JP (1) | JP2020518396A (enExample) |
| CN (1) | CN110574070A (enExample) |
| CA (1) | CA3061988A1 (enExample) |
| WO (1) | WO2018202541A1 (enExample) |
Families Citing this family (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102018222606A1 (de) * | 2018-12-20 | 2020-06-25 | Siemens Healthcare Gmbh | Verfahren und Vorrichtung zur Detektion eines anatomischen Merkmals eines Blutgefäßabschnittes |
| EP3939003B1 (en) | 2019-03-12 | 2024-04-03 | Bayer HealthCare, LLC | Systems and methods for assessing a likelihood of cteph and identifying characteristics indicative thereof |
| EP4031893B1 (de) | 2019-09-18 | 2024-12-25 | Bayer Aktiengesellschaft | Erzeugung von mrt-aufnahmen der leber |
| EP4231037A1 (de) | 2019-09-18 | 2023-08-23 | Bayer Aktiengesellschaft | Beschleunigung von mrt-untersuchungen |
| JP7535575B2 (ja) | 2019-09-18 | 2024-08-16 | バイエル、アクチエンゲゼルシャフト | 組織特性を予測、予想、および／または査定するためのシステム、方法、およびコンピュータプログラム製品 |
| EP3813017A1 (de) | 2019-10-21 | 2021-04-28 | Bayer AG | Segmentierung der herzregion in ct-aufnahmen |
| JP7394588B2 (ja) * | 2019-11-07 | 2023-12-08 | キヤノン株式会社 | 情報処理装置、情報処理方法、および撮像システム |
| EP4128261A1 (de) | 2020-04-03 | 2023-02-08 | Bayer Aktiengesellschaft | Erzeugen von radiologischen aufnahmen |
| EP4248356A1 (en) | 2020-11-20 | 2023-09-27 | Bayer Aktiengesellschaft | Representation learning |
| US20240185577A1 (en) | 2021-04-01 | 2024-06-06 | Bayer Aktiengesellschaft | Reinforced attention |
| US20240289637A1 (en) | 2021-06-25 | 2024-08-29 | Bayer Aktiengesellschaft | Federated representation learning with consistency regularization |
| CN113702482B (zh) * | 2021-08-30 | 2022-08-23 | 中国医学科学院北京协和医院 | 一种IgG N-糖链特征组合及其应用 |
| EP4471710B1 (de) | 2023-05-30 | 2025-12-17 | Bayer Aktiengesellschaft | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| EP4475070A1 (de) | 2023-06-05 | 2024-12-11 | Bayer AG | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| EP4492324A1 (de) | 2023-07-12 | 2025-01-15 | Bayer AG | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| EP4498324A1 (de) | 2023-07-25 | 2025-01-29 | Bayer AG | Erkennen von artefakten in synthetischen bildern |
| EP4560648A1 (en) | 2023-11-22 | 2025-05-28 | Bayer AG | Generating synthetic training data |
| WO2025119803A1 (en) | 2023-12-06 | 2025-06-12 | Bayer Aktiengesellschaft | Generating synthetic medical representations |
| EP4567715A1 (en) | 2023-12-06 | 2025-06-11 | Bayer Aktiengesellschaft | Generating synthetic representations |
| EP4571650A1 (en) | 2023-12-12 | 2025-06-18 | Bayer AG | Generating synthetic images |
| EP4575997A1 (en) | 2023-12-18 | 2025-06-25 | Bayer Aktiengesellschaft | Generating synthetic images |
| WO2025190826A1 (en) | 2024-03-15 | 2025-09-18 | Bayer Aktiengesellschaft | Generation of a synthetic medical image |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050010098A1 (en) * | 2003-04-11 | 2005-01-13 | Sigmund Frigstad | Method and apparatus for knowledge based diagnostic imaging |
| US20090012382A1 (en) * | 2007-07-02 | 2009-01-08 | General Electric Company | Method and system for detection of obstructions in vasculature |
| JP2010104581A (ja) * | 2008-10-30 | 2010-05-13 | Canon Inc | Ｘ線撮影装置及びｘ線撮影方法 |
| WO2013036842A2 (en) * | 2011-09-08 | 2013-03-14 | Radlogics, Inc. | Methods and systems for analyzing and reporting medical images |
| RU2545927C1 (ru) * | 2014-03-13 | 2015-04-10 | Федеральное государственное бюджетное учреждение "Научно-исследовательский институт кардиологии" Сибирского отделения Российской академии медицинских наук | Способ дифференциальной диагностики острой тромбоэмболии легочной артерии и хронической постэмболической легочной гипертензии |
| US20170089924A1 (en) * | 2014-04-22 | 2017-03-30 | Tohoku University | Method of testing for pulmonary hypertension |
-
2018
- 2018-04-26 WO PCT/EP2018/060732 patent/WO2018202541A1/de not_active Ceased
- 2018-04-26 EP EP18720250.2A patent/EP3619631A1/de not_active Withdrawn
- 2018-04-26 CN CN201880029130.4A patent/CN110574070A/zh active Pending
- 2018-04-26 JP JP2019560392A patent/JP2020518396A/ja active Pending
- 2018-04-26 CA CA3061988A patent/CA3061988A1/en active Pending
- 2018-04-26 US US16/609,138 patent/US20200237331A1/en not_active Abandoned
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2020518396A5 (enExample) | ||
| CN112200081B (zh) | 异常行为识别方法、装置、电子设备及存储介质 | |
| GB2600587A (en) | Image defect identification | |
| McEvoy et al. | Using machine learning to classify image features from canine pelvic radiographs: evaluation of partial least squares discriminant analysis and artificial neural network models | |
| JP2017534117A5 (enExample) | ||
| CN111770317B (zh) | 用于智慧社区的视频监控方法、装置、设备及介质 | |
| CN109978078B (zh) | 字体版权检测方法、介质、计算机设备及装置 | |
| JP2020537787A5 (enExample) | ||
| CN112602155B (zh) | 用于处理和使用经训练的模型的系统和方法 | |
| Subramaniam et al. | A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques: K. Subramaniam et al. | |
| Marangi et al. | The natural history of varicella zoster virus infection in Norway: Further insights on exogenous boosting and progressive immunity to herpes zoster | |
| CN109492595B (zh) | 适用于固定群体的行为预测方法和系统 | |
| CN108345641A (zh) | 一种爬取网站数据的方法、存储介质和服务器 | |
| CN110008972B (zh) | 用于数据增强的方法和装置 | |
| Rossi et al. | FishAPP: A mobile App to detect fish falsification through image processing and machine learning techniques | |
| Saha | An extensive investigation of convolutional neural network designs for the diagnosis of lumpy skin disease in dairy cows | |
| EP3709309A1 (en) | Medical data collection for machine learning | |
| US20160323281A1 (en) | Filtering Content In An Online System Based On Text And Image Signals Extracted From The Content | |
| CN112036269A (zh) | 跌倒检测方法、装置、计算机设备和存储介质 | |
| CN113312600B (zh) | 生物关系认证处理方法及装置 | |
| JP2025516346A (ja) | 画像におけるオープンボキャブラリオブジェクト検出 | |
| KR102582506B1 (ko) | 돈사 질병 관리를 위한 모니터링 시스템 | |
| CN110532966A (zh) | 一种基于分类模型进行跌倒识别的方法及设备 | |
| CN107451198A (zh) | 灾情评估方法和灾情评估装置 | |
| CN112818946A (zh) | 年龄识别模型的训练、年龄识别方法、装置及电子设备 |