Description: 程序代码说明:对癌细胞颜色进行分析，和正常细胞相比，癌细胞的核颜色较深，色彩分量有较大的差异。据此，对癌细胞进行色度学分类识别。-code : right color cell analysis, and compared to normal cells, cancer cells nuclear darker in color, a color component of the larger differences. Accordingly, the cancer classification for color identification. Platform: |
Size: 1024 |
Author:mm |
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Description: 细胞检测，通过细胞边缘跟踪，迭代阈值分割算法，检测细胞边缘，计算细胞大小，对细胞进行判断-cell detection, tracking through the edge of the cells, iterative threshold segmentation algorithm to detect the edge of the cells, the cell size, right cells judgment Platform: |
Size: 28672 |
Author:夏蓉 |
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Description: 细胞边缘检测及癌细胞识别系统，在matlab环境下操作！-cell edge detection and cancer identification system in operation Matlab environment! Platform: |
Size: 68608 |
Author:马会玲 |
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Description: 细胞边缘检测源码，边缘检测的源码经常看到，这篇是基于癌细胞的边缘检测，MATLAB实现，有注释。-Source cell edge detection, edge detection of the source often see, this is based on edge detection of cancer cells, MATLAB realization of the Notes have. Platform: |
Size: 1024 |
Author:石头 |
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Description: 先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别-Bimodal method first cell image binarization, and segmentation and identification of cancer cells Platform: |
Size: 6144 |
Author:xiaoyan |
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Description: 程序为MATLAB实现，包括程序代码说明细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析。-Procedures for MATLAB to achieve, including program code that cell edge detection, cancer cell morphology analysis, color analysis of cancer cells. Platform: |
Size: 63488 |
Author:宋志高 |
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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: 边缘提取算法提取细胞轮廓 适用于前景背景反差巨大-An object can be easily detected in an image if the object has sufficient
contrast from the background. We use edge detection and basic morphology
tools to detect a prostate cancer cell. Platform: |
Size: 2048 |
Author:cicy |
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Description: 一个用于癌细胞形态学分析的Matlab程序，可用于Matlab学习。-One for cell morphology analysis, Matlab program can be used for learning Matlab. Platform: |
Size: 32768 |
Author:Tony |
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