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Description: 这是个医学图像处理的程序，主要是识别癌细胞的程序。在vc6.0下编译。-This is a medical image processing procedures is to identify the major cancer procedures. Under the vc6.0 compiler.
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Size: 212992 |
Author: 陈刚 |
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Description: 图像处理，用matlab编程，细胞边缘检测及癌细胞的识别！-Image processing, using matlab programming, cell edge detection and identification of cancer cells!
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Size: 65536 |
Author: 亚涛 |
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Description: 典型的图像分割算法，希望对大家有用，多多支持，-Typical image segmentation algorithm, useful for all of us hope, a lot of support,
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Size: 1024 |
Author: LU |
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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
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Size: 6144 |
Author: xiaoyan |
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Description: 医学图像处理：P0701：细胞边缘检测；702：癌细胞形态学分析；P0703：癌细胞颜色分析-Medical Image Processing: P0701: cell edge detection 702: morphological analysis of cancer cells P0703: color analysis of cancer cells
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Size: 63488 |
Author: 无理取闹 |
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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
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Size: 221184 |
Author: 高阳 |
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Description: 在医学图象处理中，用于对于癌细胞进行检测，效果很好-In medical image processing for the detection of cancer cells, the effect of good
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Size: 101376 |
Author: lilei |
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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.
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Size: 2048 |
Author: cicy |
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Description: 显示医疗方面的DICOM 图形. 可以存储10万张DICOM文件-Open Source Picture Archiving and Communication System (OSPACS) for storing and displaying medical image files. This is currently been used by the Institute of Women s Health (University College London) to archive ultrasound images from the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) and aims to store more than 100,000 DICOM files.
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Size: 4067328 |
Author: david |
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Description: this folder contain image cancer dataset
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Size: 501760 |
Author: shazlan |
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Description: Fuzzy C means to segmentate an image whit skin cancer
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Size: 161792 |
Author: tonatiuh |
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Description: 医学图像资源 内含150张512*512乳腺癌图源 可用来医学图像学习实践-Medical image resource containing 150 512* 512 breast cancer map sources can be used to study and practice of medical image
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Size: 8790016 |
Author: yifanyingzyf |
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Description: 乳腺癌ＣＴ图像增强与预测，应用的是二值小波 国外英文期刊 Ｉ-CT image enhancement with the prediction of breast cancer, application of the binary wavelet foreign English journal IEEE
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Size: 548864 |
Author: fan |
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Description: breast cancer test , simple
input image and target images to highlight the cancer-breast cancer test , simple
input image and target images to highlight the cancer
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Size: 1024 |
Author: wael |
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Description: medical image database breast cancer
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Size: 15622144 |
Author: ady |
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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
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Size: 772096 |
Author: 程鹏 |
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Description: breast cancer detection using ANN image
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Size: 134144 |
Author: jocky |
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Description: Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. Output is an image of better quality which quality depends on a particular application. The objective of fusion is to generate a resultant image which describes a scene better or even higher than any single image with respect to some relevant properties providing a highly informative image. These fusion techniques are especially beneficial in diagnosing and treating cancer in field of medicine. This paper focuses on the development of a different image fusion method using Dual Tree Complex Wavelet Transform. Experimental results show that the proposed algorithm has a better visual quality than the base methods. Also the result if the fused image has been evaluated using a set of quality metrics. -Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. Output is an image of better quality which quality depends on a particular application. The objective of fusion is to generate a resultant image which describes a scene better or even higher than any single image with respect to some relevant properties providing a highly informative image. These fusion techniques are especially beneficial in diagnosing and treating cancer in field of medicine. This paper focuses on the development of a different image fusion method using Dual Tree Complex Wavelet Transform. Experimental results show that the proposed algorithm has a better visual quality than the base methods. Also the result if the fused image has been evaluated using a set of quality metrics.
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Size: 16384 |
Author: sruthy78 |
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Description: comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
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Size: 1805312 |
Author: uma |
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Description: medical image fusion in breast cancer.
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Size: 239616 |
Author: mitesh |
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