CN109671055B - 肺结节检测方法及装置 - Google Patents
肺结节检测方法及装置 Download PDFInfo
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- CN109671055B CN109671055B CN201811429031.3A CN201811429031A CN109671055B CN 109671055 B CN109671055 B CN 109671055B CN 201811429031 A CN201811429031 A CN 201811429031A CN 109671055 B CN109671055 B CN 109671055B
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- 238000001514 detection method Methods 0.000 title claims abstract description 52
- 230000002685 pulmonary effect Effects 0.000 title claims abstract description 28
- 206010056342 Pulmonary mass Diseases 0.000 claims abstract description 63
- 238000012549 training Methods 0.000 claims abstract description 39
- 230000008030 elimination Effects 0.000 claims description 40
- 238000003379 elimination reaction Methods 0.000 claims description 40
- 238000011176 pooling Methods 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 10
- 238000005457 optimization Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 25
- 230000000694 effects Effects 0.000 abstract description 9
- 238000002591 computed tomography Methods 0.000 description 33
- 238000013528 artificial neural network Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 3
- 238000003325 tomography Methods 0.000 description 3
- 238000010200 validation analysis Methods 0.000 description 3
- 238000004873 anchoring Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 201000005202 lung cancer Diseases 0.000 description 1
- 208000020816 lung neoplasm Diseases 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30061—Lung
- G06T2207/30064—Lung nodule
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- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Apparatus For Radiation Diagnosis (AREA)
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CN201811429031.3A CN109671055B (zh) | 2018-11-27 | 2018-11-27 | 肺结节检测方法及装置 |
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CN109671055A CN109671055A (zh) | 2019-04-23 |
CN109671055B true CN109671055B (zh) | 2021-04-02 |
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Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110717518B (zh) * | 2019-09-10 | 2023-06-30 | 北京深睿博联科技有限责任公司 | 基于3d卷积神经网络的持续性肺结节识别方法及装置 |
CN111524106B (zh) * | 2020-04-13 | 2021-05-28 | 推想医疗科技股份有限公司 | 颅骨骨折检测和模型训练方法、装置、设备和存储介质 |
CN111798424B (zh) * | 2020-06-30 | 2021-02-09 | 广西医准智能科技有限公司 | 一种基于医学图像的结节检测方法、装置及电子设备 |
CN113139568B (zh) * | 2021-02-22 | 2022-05-10 | 杭州深睿博联科技有限公司 | 一种基于主动学习的类别预测模型建模方法及装置 |
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CN106504232B (zh) * | 2016-10-14 | 2019-06-14 | 北京网医智捷科技有限公司 | 一种基于3d卷积神经网络的肺部结节自动检测系统 |
CN107274402A (zh) * | 2017-06-27 | 2017-10-20 | 北京深睿博联科技有限责任公司 | 一种基于胸部ct影像的肺结节自动检测方法及系统 |
CN108742679B (zh) * | 2018-06-29 | 2022-07-05 | 上海联影医疗科技股份有限公司 | 结节检测装置和方法 |
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Effective date of registration: 20190723 Address after: Room 705, 8 Building 1818-2 Wenyi West Road, Yuhang District, Hangzhou City, Zhejiang Province, 311100 Applicant after: SHENZHEN DEEPWISE BOLIAN TECHNOLOGY Co.,Ltd. Applicant after: BEIJING SHENRUI BOLIAN TECHNOLOGY Co.,Ltd. Address before: 310026 Room 705, 8 Building 1818-2 Wenyi West Road, Yuhang District, Hangzhou City, Zhejiang Province Applicant before: SHENZHEN DEEPWISE BOLIAN TECHNOLOGY Co.,Ltd. |
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Denomination of invention: Method and device for detecting pulmonary nodules Effective date of registration: 20231007 Granted publication date: 20210402 Pledgee: Guotou Taikang Trust Co.,Ltd. Pledgor: SHENZHEN DEEPWISE BOLIAN TECHNOLOGY Co.,Ltd. Registration number: Y2023980059614 |
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