Description: 目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺部病灶穿刺细胞学涂片,肺癌识别诊断率94180 ,假阳性率1185 ,假阴性率3135 ,肺癌分类识别率82190 ,核异型细胞识别率74120 "结论:/智能化肺癌早期细胞病理诊断系统0对肺癌细胞涂片诊断率高,克服了肺癌细胞病理诊断过程中取检细胞数量少,重叠细胞识别率低,涂片背景及染色差异等干扰因素,可辅助临床肺部病灶的穿刺细胞病理诊断"-Objective Design and develop a intelligent cytopathological lung cancer diagnosing system(ICLCDS) utilizing the latest computer technologies(including Reinforcement Lcaming Multiple Classifier Fusion and Dimcnsionality Reduction) and the cy-topathological knowledge on lung canccrcclls Methods We got information ofcclls and segregated cell regions in a slice image using an magi scgmcntouon a址orithm Sascd on reinforcement lcaming including rcconstmction of overlapped cell area Sascd on B一Spline and improved dcBoor-Cox Mcthoc} We comSincd multiple classifiers including Baycsian classific:Support Vector Machine(SVM)
classific K-Ncarcst NcighSour( KNN) and Decision c classific to achieve an accurate result of cytopathological lung cancer diag-nosis Results Experimental results on 1 200 cases randomly selected we as follows the accurate diagnosis rate for lung cancer idcn-tification was the false positive rate was 1. 8`J /c‘the false negative rate was 3. 3`J /c‘the type class Platform: |
Size: 221184 |
Author:高阳 |
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Description: 这个软件主要用Bayes分析肺癌的早期诊断，早在X光片也无法确定时用先验分布计算后验分布概率，估计对医生有些实际价值。-This software is mainly used Bayes analysis of lung cancer, early diagnosis, early X-ray films can not be used to determine the prior distribution when calculating the posterior distribution of probabilities, it is estimated that some practical value for doctors. Platform: |
Size: 62464 |
Author:zmma |
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Description: 在matlab软件上模拟肺肿瘤生长，吸烟是诱发肺肿瘤的主要原因。-Matlab software to simulate the growth of lung cancer, lung cancer induced by smoking is the main reason. Platform: |
Size: 5120 |
Author:甘海洲 |
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Description: Matlab在医学图像处理中的应用Study on Image Processing of the Lung Cancer and Bone by Using MATLAB
-Study on Image Processing of the Lung Cancer and Bone by Using MATLAB
Platform: |
Size: 772096 |
Author:程鹏 |
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Description: zeft lung cancer is fuzzy system example which determine zeft lung cancer risk with smoking habits
.. we use sugeno model for defuzzification Platform: |
Size: 194560 |
Author:x-2000 |
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Search - lung cancer matlab