CN109285147B - 用于乳腺钼靶钙化检测的图像处理方法及装置、服务器 - Google Patents
用于乳腺钼靶钙化检测的图像处理方法及装置、服务器 Download PDFInfo
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- CN109285147B CN109285147B CN201811004034.2A CN201811004034A CN109285147B CN 109285147 B CN109285147 B CN 109285147B CN 201811004034 A CN201811004034 A CN 201811004034A CN 109285147 B CN109285147 B CN 109285147B
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- 230000002308 calcification Effects 0.000 title claims abstract description 77
- 238000001514 detection method Methods 0.000 title claims abstract description 76
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 title claims abstract description 44
- 229910052750 molybdenum Inorganic materials 0.000 title claims abstract description 44
- 239000011733 molybdenum Substances 0.000 title claims abstract description 44
- 210000000481 breast Anatomy 0.000 title claims abstract description 34
- 238000003672 processing method Methods 0.000 title claims abstract description 19
- 238000012549 training Methods 0.000 claims abstract description 19
- 238000012360 testing method Methods 0.000 claims description 40
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 13
- 238000009826 distribution Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 3
- 230000004927 fusion Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 17
- 230000000694 effects Effects 0.000 abstract description 8
- 208000004434 Calcinosis Diseases 0.000 description 70
- 230000006870 function Effects 0.000 description 24
- 238000010586 diagram Methods 0.000 description 7
- 238000013527 convolutional neural network Methods 0.000 description 6
- 238000012795 verification Methods 0.000 description 4
- 206010006187 Breast cancer Diseases 0.000 description 3
- 208000026310 Breast neoplasm Diseases 0.000 description 3
- 230000000877 morphologic effect Effects 0.000 description 3
- 230000001788 irregular Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 206010028980 Neoplasm Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 201000011510 cancer Diseases 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 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
- G06T2207/20—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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- 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
- G06T2207/30068—Mammography; Breast
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- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
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CN109949271B (zh) * | 2019-02-14 | 2021-03-16 | 腾讯科技(深圳)有限公司 | 一种基于医学图像的检测方法、模型训练的方法及装置 |
CN110021016B (zh) * | 2019-04-01 | 2020-12-18 | 数坤(北京)网络科技有限公司 | 一种钙化检测方法 |
CN111325266B (zh) * | 2020-02-18 | 2023-07-21 | 慧影医疗科技(北京)股份有限公司 | 乳腺钼靶图像中微钙化簇的检测方法、装置和电子设备 |
CN113509191A (zh) * | 2021-03-05 | 2021-10-19 | 北京赛迈特锐医疗科技有限公司 | 乳腺钼靶x线影像的分析方法、装置及设备 |
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CN107798679A (zh) * | 2017-12-11 | 2018-03-13 | 福建师范大学 | 乳腺钼靶图像乳房区域分割与钙化点检测方法 |
CN107886514A (zh) * | 2017-11-22 | 2018-04-06 | 浙江中医药大学 | 基于深度残差网络的乳腺钼靶图像肿块语义分割方法 |
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ES2152548T3 (es) * | 1995-07-25 | 2001-02-01 | Horus Therapeutics Inc | Metodos asistidos por ordenador para diagnosticar enfermedades. |
US8738124B2 (en) * | 2007-12-11 | 2014-05-27 | Epi-Sci, Llc | Electrical bioimpedance analysis as a biomarker of breast density and/or breast cancer risk |
US20110207156A1 (en) * | 2008-10-29 | 2011-08-25 | The Regents Of The University Of Colorado | Biomarkers for Diagnosis of Breast Cancer |
US20130044927A1 (en) * | 2011-08-15 | 2013-02-21 | Ian Poole | Image processing method and system |
WO2015061597A1 (en) * | 2013-10-23 | 2015-04-30 | Brigham And Women's Hospital, Inc. | System and method for analyzing tissue intra-operatively using mass spectrometry |
CN106326931A (zh) * | 2016-08-25 | 2017-01-11 | 南京信息工程大学 | 基于深度学习的乳腺钼靶图像自动分类方法 |
CN108416360B (zh) * | 2018-01-16 | 2022-03-29 | 华南理工大学 | 基于乳腺钼靶钙化特征的癌症诊断系统及方法 |
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CN107886514A (zh) * | 2017-11-22 | 2018-04-06 | 浙江中医药大学 | 基于深度残差网络的乳腺钼靶图像肿块语义分割方法 |
CN107798679A (zh) * | 2017-12-11 | 2018-03-13 | 福建师范大学 | 乳腺钼靶图像乳房区域分割与钙化点检测方法 |
Non-Patent Citations (2)
Title |
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Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis;Ravi K.Samala等;《SPIE Medical Imaging》;20160227;第9785卷;全文 * |
U-Net:Convolutional Networks for Biomedical Image Segmentation;Olaf Ronneberger等;《International Conference on Medical Image Computing and Computer-Assisted Intervention》;20150518;全文 * |
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Denomination of invention: Image processing method, device, and server for detecting breast molybdenum target calcification Effective date of registration: 20231007 Granted publication date: 20201229 Pledgee: Guotou Taikang Trust Co.,Ltd. Pledgor: SHENZHEN DEEPWISE BOLIAN TECHNOLOGY Co.,Ltd. Registration number: Y2023980059614 |