JP2020062378A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2020062378A5 JP2020062378A5 JP2019149904A JP2019149904A JP2020062378A5 JP 2020062378 A5 JP2020062378 A5 JP 2020062378A5 JP 2019149904 A JP2019149904 A JP 2019149904A JP 2019149904 A JP2019149904 A JP 2019149904A JP 2020062378 A5 JP2020062378 A5 JP 2020062378A5
- Authority
- JP
- Japan
- Prior art keywords
- scale
- full
- radiograph
- model
- developing
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 claims 12
- 230000003902 lesion Effects 0.000 claims 4
- 238000013528 artificial neural network Methods 0.000 claims 2
- 230000002708 enhancing effect Effects 0.000 claims 2
- 210000002436 femur neck Anatomy 0.000 claims 2
- 210000001624 hip Anatomy 0.000 claims 2
- 238000010801 machine learning Methods 0.000 claims 2
- 210000004197 pelvis Anatomy 0.000 claims 2
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862719664P | 2018-08-19 | 2018-08-19 | |
| US62/719,664 | 2018-08-19 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020062378A JP2020062378A (ja) | 2020-04-23 |
| JP2020062378A5 true JP2020062378A5 (https=) | 2022-08-23 |
| JP7336309B2 JP7336309B2 (ja) | 2023-08-31 |
Family
ID=67659331
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019149904A Active JP7336309B2 (ja) | 2018-08-19 | 2019-08-19 | 医療画像の分析方法、システムおよびモデル |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11080852B2 (https=) |
| EP (1) | EP3614337A1 (https=) |
| JP (1) | JP7336309B2 (https=) |
| SG (1) | SG10201907613PA (https=) |
| TW (1) | TWI701680B (https=) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102540998B1 (ko) * | 2019-01-18 | 2023-06-05 | 가톨릭대학교 산학협력단 | 영상 정복 기반 가상 내고정물 생성 방법 및 장치 |
| CN111325745B (zh) * | 2020-03-09 | 2023-08-25 | 北京深睿博联科技有限责任公司 | 骨折区域分析方法和装置、电子设备及可读存储介质 |
| US12488519B2 (en) | 2020-05-13 | 2025-12-02 | Eos Imaging | Medical imaging conversion method and associated medical imaging 3D model personalization method |
| JP7551370B2 (ja) * | 2020-07-15 | 2024-09-17 | キヤノンメディカルシステムズ株式会社 | 医用データ処理装置及び方法 |
| TWM616670U (zh) * | 2020-09-22 | 2021-09-11 | 網資科技股份有限公司 | 人工智慧輔助骨頭醫學影像判讀系統 |
| CN112329550A (zh) * | 2020-10-16 | 2021-02-05 | 中国科学院空间应用工程与技术中心 | 基于弱监督学习的受灾建筑快速定位评估方法及装置 |
| KR102672010B1 (ko) * | 2020-12-29 | 2024-06-04 | 고려대학교 산학협력단 | 인공지능을 이용한 안면부 골절 판독 장치 및 방법 |
| JP7687587B2 (ja) * | 2021-02-22 | 2025-06-03 | グローリー株式会社 | 画像処理装置、画像処理方法およびプログラム |
| TWI810680B (zh) * | 2021-10-18 | 2023-08-01 | 長庚醫療財團法人林口長庚紀念醫院 | 前後骨盆放射影像分析方法及系統 |
| KR102672531B1 (ko) * | 2021-11-09 | 2024-06-07 | 주식회사 피앤씨솔루션 | 딥러닝 기반의 포즈 추정을 활용한 의료 영상에서의 척추 위치 자동 추정 방법 및 장치 |
| JP7418018B2 (ja) * | 2021-11-12 | 2024-01-19 | ｉＳｕｒｇｅｒｙ株式会社 | 診断支援装置、およびコンピュータプログラム |
| WO2023121510A1 (ru) * | 2021-12-20 | 2023-06-29 | Автономная некоммерческая организация высшего образования "Университет Иннополис" | Определение патологии органов грудной клетки на основе рентгеновских изображений |
| CN114400089A (zh) * | 2022-01-20 | 2022-04-26 | 平安国际智慧城市科技股份有限公司 | 基于大数据的阅片数据分析方法、装置、设备及存储介质 |
| KR102950135B1 (ko) * | 2022-09-22 | 2026-04-09 | 고려대학교 산학협력단 | 방사선 사진 전처리를 통한 소아 안와 골절 식별 모델 학습 방법 |
| US20240112329A1 (en) * | 2022-10-04 | 2024-04-04 | HeHealth PTE Ltd. | Distinguishing a Disease State from a Non-Disease State in an Image |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007524438A (ja) | 2003-03-25 | 2007-08-30 | イメージング セラピューティクス，インコーポレーテッド | 放射線画像処理技術における補償の方法 |
| US8064660B2 (en) * | 2004-02-27 | 2011-11-22 | National University Of Singapore | Method and system for detection of bone fractures |
| US8538117B2 (en) * | 2009-04-07 | 2013-09-17 | Virginia Commonwealth University | Accurate pelvic fracture detection for X-ray and CT images |
| WO2013025613A1 (en) * | 2011-08-12 | 2013-02-21 | Jointvue, Llc | 3-d ultrasound imaging device and methods |
| US9480439B2 (en) | 2012-11-01 | 2016-11-01 | Virginia Commonwealth University | Segmentation and fracture detection in CT images |
| US10758198B2 (en) | 2014-02-25 | 2020-09-01 | DePuy Synthes Products, Inc. | Systems and methods for intra-operative image analysis |
| US10588589B2 (en) * | 2014-07-21 | 2020-03-17 | Zebra Medical Vision Ltd. | Systems and methods for prediction of osteoporotic fracture risk |
| CN113421652B (zh) | 2015-06-02 | 2024-06-28 | 推想医疗科技股份有限公司 | 对医疗数据进行分析的方法、训练模型的方法及分析仪 |
| US10275876B2 (en) | 2015-06-12 | 2019-04-30 | International Business Machines Corporation | Methods and systems for automatically selecting an implant for a patient |
| US10127659B2 (en) | 2016-11-23 | 2018-11-13 | General Electric Company | Deep learning medical systems and methods for image acquisition |
| CN108309334B (zh) * | 2017-12-08 | 2023-05-30 | 李书纲 | 一种脊柱x线影像的数据处理方法 |
| CN108305248B (zh) * | 2018-01-17 | 2020-05-29 | 慧影医疗科技（北京）有限公司 | 一种骨折识别模型的构建方法及应用 |
| CN108491770B (zh) * | 2018-03-08 | 2023-05-30 | 李书纲 | 一种基于骨折影像的数据处理方法 |
-
2019
- 2019-08-19 EP EP19192393.7A patent/EP3614337A1/en not_active Withdrawn
- 2019-08-19 JP JP2019149904A patent/JP7336309B2/ja active Active
- 2019-08-19 SG SG10201907613PA patent/SG10201907613PA/en unknown
- 2019-08-19 TW TW108129475A patent/TWI701680B/zh active
- 2019-08-19 US US16/544,479 patent/US11080852B2/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2020062378A5 (https=) | ||
| US11737704B2 (en) | Systems and methods for approximating bone mineral density and fracture risk using single energy x-rays | |
| CN104346821B (zh) | 用于医学成像的自动规划 | |
| EP3657433A1 (en) | Medical image data | |
| US12020428B2 (en) | System and methods for medical image quality assessment using deep neural networks | |
| JP2017520292A5 (https=) | ||
| CN113538372B (zh) | 三维目标检测方法、装置、计算机设备和存储介质 | |
| JP6888041B2 (ja) | 医用矢状面画像を取得する方法、医用矢状面画像を取得するニューラルネットワークのトレーニング方法及びコンピュータ装置 | |
| CN108846830A (zh) | 对ct中腰椎自动定位的方法、装置以及存储介质 | |
| CN110634125A (zh) | 基于深度学习的胎儿超声图像识别方法及系统 | |
| CN108230390A (zh) | 训练方法、关键点检测方法、装置、存储介质和电子设备 | |
| CN111640093A (zh) | 医学图像的质控方法和计算机可读存储介质 | |
| Levy et al. | Artificial intelligence evaluation of focused assessment with sonography in trauma | |
| TWI738001B (zh) | 醫學影像中身體部位識別方法及裝置 | |
| CN107633531A (zh) | 图像处理装置、图像处理方法以及计算机可读介质 | |
| JPWO2019146358A1 (ja) | 学習システム、方法及びプログラム | |
| US10762632B2 (en) | Analysis of skeletal trauma using deep learning | |
| CN111863204A (zh) | 基于钼靶x线摄影检查的乳腺疾病ai辅助诊断方法及系统 | |
| Al Mohammad et al. | Radiologist performance in the detection of lung cancer using CT | |
| CN107633478A (zh) | 图像处理装置、图像处理方法以及计算机可读介质 | |
| TWI681755B (zh) | 脊椎側彎量測系統與方法 | |
| Ameli et al. | Automated quality evaluation of dental panoramic radiographs using deep learning | |
| Vephasayanant et al. | YOLO-based image segmentation for the diagnostic of spondylolisthesis from lumbar spine X-ray images | |
| CN114742836B (zh) | 医学图像的处理方法、装置及计算机设备 | |
| JP2025534224A (ja) | 医療映像分割方法及びこれを遂行する装置 |