LU500959B1 - Rough set neural network method for segmentation of fundus retinal blood vessel images - Google Patents

Rough set neural network method for segmentation of fundus retinal blood vessel images Download PDF

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Publication number
LU500959B1
LU500959B1 LU500959A LU500959A LU500959B1 LU 500959 B1 LU500959 B1 LU 500959B1 LU 500959 A LU500959 A LU 500959A LU 500959 A LU500959 A LU 500959A LU 500959 B1 LU500959 B1 LU 500959B1
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blood vessel
image
retinal blood
neural network
fundus retinal
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LU500959A
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French (fr)
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LU500959A1 (en
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Ying Sun
Hengrong Ju
Ming Li
Yi Zhang
Zhihao Feng
Weiping Ding
Jie Wan
Jinxin Cao
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Univ Nantong
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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
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/008—Artificial life, i.e. computing arrangements simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • 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
    • G06T2207/10024—Color image
    • 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
    • G06T2207/30041—Eye; Retina; Ophthalmic
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Robotics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Eye Examination Apparatus (AREA)
LU500959A 2020-06-18 2021-04-12 Rough set neural network method for segmentation of fundus retinal blood vessel images LU500959B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010558465.4A CN111815574B (zh) 2020-06-18 2020-06-18 一种基于粗糙集神经网络的眼底视网膜血管图像分割方法

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LU500959B1 true LU500959B1 (en) 2022-05-04

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LU (1) LU500959B1 (zh)
WO (1) WO2021253939A1 (zh)

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CN111815574B (zh) * 2020-06-18 2022-08-12 南通大学 一种基于粗糙集神经网络的眼底视网膜血管图像分割方法
CN115409765B (zh) * 2021-05-28 2024-01-09 南京博视医疗科技有限公司 一种基于眼底视网膜图像的血管提取方法及装置
CN114359104B (zh) * 2022-01-10 2024-06-11 北京理工大学 一种基于分级生成的白内障眼底图像增强方法
CN114494196B (zh) * 2022-01-26 2023-11-17 南通大学 基于遗传模糊树的视网膜糖尿病变深度网络检测方法
CN114612484B (zh) * 2022-03-07 2023-07-07 中国科学院苏州生物医学工程技术研究所 基于无监督学习的视网膜oct图像分割方法
CN115187609A (zh) * 2022-09-14 2022-10-14 合肥安杰特光电科技有限公司 一种大米黄粒检测方法和系统
CN115829883B (zh) * 2023-02-16 2023-06-16 汶上县恒安钢结构有限公司 一种异性金属结构件表面图像去噪方法
CN116228545B (zh) * 2023-04-04 2023-10-03 深圳市眼科医院(深圳市眼病防治研究所) 基于视网膜特征点的眼底彩色照相图像拼接方法及系统
CN116523877A (zh) * 2023-05-04 2023-08-01 南通大学 一种基于卷积神经网络的脑mri图像肿瘤块分割方法
CN116580008B (zh) * 2023-05-16 2024-01-26 山东省人工智能研究院 基于局部增广空间测地线生物医学标记方法
CN116342588B (zh) * 2023-05-22 2023-08-11 徕兄健康科技(威海)有限责任公司 一种脑血管图像增强方法
CN116740203B (zh) * 2023-08-15 2023-11-28 山东理工职业学院 用于眼底相机数据的安全存储方法
CN117437350B (zh) * 2023-09-12 2024-05-03 南京诺源医疗器械有限公司 一种用于手术术前规划的三维重建系统及方法
CN117058468B (zh) * 2023-10-11 2023-12-19 青岛金诺德科技有限公司 用于新能源汽车锂电池回收的图像识别与分类系统
CN117372284B (zh) * 2023-12-04 2024-02-23 江苏富翰医疗产业发展有限公司 眼底图像处理方法及系统
CN117611599B (zh) * 2023-12-28 2024-05-31 齐鲁工业大学(山东省科学院) 融合中心线图和增强对比度网络的血管分割方法及其系统
CN117974692B (zh) * 2024-03-29 2024-06-07 贵州毅丹恒瑞医药科技有限公司 一种基于区域生长的眼科医学影像处理方法

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CN102254224A (zh) * 2011-07-06 2011-11-23 无锡泛太科技有限公司 一种基于粗糙集神经网络的图像识别的物联网电动汽车充电桩系统
EP2847737A4 (en) * 2012-04-11 2016-09-28 Univ Florida SYSTEM AND METHOD FOR ANALYZING RANDOM PATTERNS
CN108615051B (zh) * 2018-04-13 2020-09-15 博众精工科技股份有限公司 基于深度学习的糖尿病视网膜图像分类方法及系统
US11989877B2 (en) * 2018-09-18 2024-05-21 MacuJect Pty Ltd Method and system for analysing images of a retina
CN110232372B (zh) * 2019-06-26 2021-09-24 电子科技大学成都学院 基于粒子群优化bp神经网络的步态识别方法
CN111091916A (zh) * 2019-12-24 2020-05-01 郑州科技学院 人工智能中基于改进粒子群算法的数据分析处理方法及系统
CN111815574B (zh) * 2020-06-18 2022-08-12 南通大学 一种基于粗糙集神经网络的眼底视网膜血管图像分割方法

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LU500959A1 (en) 2022-01-04
CN111815574B (zh) 2022-08-12
CN111815574A (zh) 2020-10-23

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