JPWO2020201516A5 - - Google Patents
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- JPWO2020201516A5 JPWO2020201516A5 JP2021558747A JP2021558747A JPWO2020201516A5 JP WO2020201516 A5 JPWO2020201516 A5 JP WO2020201516A5 JP 2021558747 A JP2021558747 A JP 2021558747A JP 2021558747 A JP2021558747 A JP 2021558747A JP WO2020201516 A5 JPWO2020201516 A5 JP WO2020201516A5
- Authority
- JP
- Japan
- Prior art keywords
- image data
- lesion
- uncertainty
- data
- identifying
- 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.)
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Links
- 230000003902 lesion Effects 0.000 claims 44
- 238000000034 method Methods 0.000 claims 13
- 238000010801 machine learning Methods 0.000 claims 2
- 230000004044 response Effects 0.000 claims 2
- 238000004590 computer program Methods 0.000 claims 1
- 230000001747 exhibiting effect Effects 0.000 claims 1
- 230000026676 system process Effects 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19167213.8A EP3719746A1 (en) | 2019-04-04 | 2019-04-04 | Identifying boundaries of lesions within image data |
| EP19167213.8 | 2019-04-04 | ||
| PCT/EP2020/059583 WO2020201516A1 (en) | 2019-04-04 | 2020-04-03 | Identifying boundaries of lesions within image data |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022527525A JP2022527525A (ja) | 2022-06-02 |
| JPWO2020201516A5 true JPWO2020201516A5 (enExample) | 2022-08-15 |
| JP7204007B2 JP7204007B2 (ja) | 2023-01-13 |
Family
ID=66092123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021558747A Active JP7204007B2 (ja) | 2019-04-04 | 2020-04-03 | 画像データ中の病変部の境界の識別 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12079989B2 (enExample) |
| EP (2) | EP3719746A1 (enExample) |
| JP (1) | JP7204007B2 (enExample) |
| CN (1) | CN113661518B (enExample) |
| WO (1) | WO2020201516A1 (enExample) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210375437A1 (en) * | 2020-06-01 | 2021-12-02 | Radial Analytics, Inc. | Systems and methods for discharge evaluation triage |
| US12073945B2 (en) * | 2020-06-30 | 2024-08-27 | Cerner Innovation, Inc. | Patient ventilator asynchrony detection |
| US20230274816A1 (en) * | 2020-07-16 | 2023-08-31 | Koninklijke Philips N.V. | Automatic certainty evaluator for radiology reports |
| US12112844B2 (en) * | 2021-03-12 | 2024-10-08 | Siemens Healthineers Ag | Machine learning for automatic detection of intracranial hemorrhages with uncertainty measures from medical images |
| CN114463323B (zh) * | 2022-02-22 | 2023-09-08 | 数坤(上海)医疗科技有限公司 | 一种病灶区域识别方法、装置、电子设备和存储介质 |
| US20250165860A1 (en) * | 2022-03-01 | 2025-05-22 | Nec Corporation | Learning device, control device, learning method, and storage medium |
| JP2024017902A (ja) * | 2022-07-28 | 2024-02-08 | 株式会社日立製作所 | 判定評価装置、方法、およびプログラム |
| JP2024179020A (ja) * | 2023-06-14 | 2024-12-26 | 株式会社日立製作所 | 計算機システム及び推論の不確実性判定方法 |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7876938B2 (en) * | 2005-10-06 | 2011-01-25 | Siemens Medical Solutions Usa, Inc. | System and method for whole body landmark detection, segmentation and change quantification in digital images |
| US7840046B2 (en) * | 2006-06-27 | 2010-11-23 | Siemens Medical Solutions Usa, Inc. | System and method for detection of breast masses and calcifications using the tomosynthesis projection and reconstructed images |
| EP2208183B1 (en) * | 2007-11-14 | 2018-05-02 | Koninklijke Philips N.V. | Computer-aided detection (cad) of a disease |
| JP5117353B2 (ja) * | 2008-11-07 | 2013-01-16 | オリンパス株式会社 | 画像処理装置、画像処理プログラムおよび画像処理方法 |
| US20100158332A1 (en) * | 2008-12-22 | 2010-06-24 | Dan Rico | Method and system of automated detection of lesions in medical images |
| US9122950B2 (en) | 2013-03-01 | 2015-09-01 | Impac Medical Systems, Inc. | Method and apparatus for learning-enhanced atlas-based auto-segmentation |
| JP6346576B2 (ja) * | 2015-02-27 | 2018-06-20 | Hoya株式会社 | 画像処理装置 |
| CN105488781B (zh) * | 2015-06-01 | 2019-04-30 | 深圳市第二人民医院 | 一种基于ct影像肝脏肿瘤病灶的分割方法 |
| US10181188B2 (en) * | 2016-02-19 | 2019-01-15 | International Business Machines Corporation | Structure-preserving composite model for skin lesion segmentation |
| US9886758B2 (en) | 2016-03-31 | 2018-02-06 | International Business Machines Corporation | Annotation of skin image using learned feature representation |
| CN106097335B (zh) * | 2016-06-08 | 2019-01-25 | 安翰光电技术(武汉)有限公司 | 消化道病灶图像识别系统及识别方法 |
| JP7054787B2 (ja) * | 2016-12-22 | 2022-04-15 | パナソニックIpマネジメント株式会社 | 制御方法、情報端末、及びプログラム |
| CA3053487A1 (en) | 2017-02-22 | 2018-08-30 | The United States Of America, As Represented By The Secretary, Department Of Health And Human Services | Detection of prostate cancer in multi-parametric mri using random forest with instance weighting & mr prostate segmentation by deep learning with holistically-nested networks |
| US20200085382A1 (en) * | 2017-05-30 | 2020-03-19 | Arterys Inc. | Automated lesion detection, segmentation, and longitudinal identification |
| CN107730507A (zh) | 2017-08-23 | 2018-02-23 | 成都信息工程大学 | 一种基于深度学习的病变区域自动分割方法 |
| CN111192285B (zh) * | 2018-07-25 | 2022-11-04 | 腾讯医疗健康(深圳)有限公司 | 图像分割方法、装置、存储介质和计算机设备 |
-
2019
- 2019-04-04 EP EP19167213.8A patent/EP3719746A1/en not_active Withdrawn
-
2020
- 2020-04-03 JP JP2021558747A patent/JP7204007B2/ja active Active
- 2020-04-03 EP EP20714660.6A patent/EP3948777B1/en active Active
- 2020-04-03 CN CN202080026839.6A patent/CN113661518B/zh active Active
- 2020-04-03 WO PCT/EP2020/059583 patent/WO2020201516A1/en not_active Ceased
- 2020-04-03 US US17/600,405 patent/US12079989B2/en active Active
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