搜索资源列表
Bayesian_Classification
- 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is ab
fengefangfa
- 基于一致性直方图的超声乳腺图片分割方法 为了在乳腺超声图像中准确的分割出病灶-Histogram based on the consistency of the breast ultrasound image segmentation method for ultrasound images of breast accurate segmentation of lesions
haarcascade_breast
- 疑似breast detection的OpenCV classifier-breast detection classifier
BioinfYeastzipCode
- 乳腺癌分类程序，带有部分的原始数据，非常好-Breast cancer classification procedures, with part of the raw data, very good
Breast_cancer_recognition
- Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.
breast_outline
- 该程序用实现寻找钼靶图像中乳腺轮廓。在医学图像处理当中，找到乳腺轮廓有助于简化后绪处理。-This code is used for finding the boudary of the breast in a mammogram.
150
- 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
Breast
- 乳腺X光片中可疑区域的多分辨率分割的源代码-Breast X-ray film multi-resolution segmentation of suspicious regions
LVRclass21
- LVQ神经网络 分类 实例 乳腺肿瘤 诊断-LVQ neural network classification of instances of breast cancer diagnosis
BreastPhantom
- it automatically generate a simulated 3D breast phantom. Generate lesions, ducts, fibroglandular tissue and fatty tissue. It could be used for all kinds of breast phantom based image analysis. e.g projection image, CT re
1232
- 采用对比度受限自适应直方图均衡对乳腺图像进行增强，有效地增强了乳腺图像中的细节，如钙化点、乳导管等组织；并通过对算法中相关参数研究， 得到应用于乳腺图像增强的参数优选值，以求获得较好的增强效果，为医师分析影像提供方便。通过与灰度直方图均衡的结果进行比较得出：对比度受限自适应直方图均衡为乳腺数字图像增强的有效方法， 在计算机辅助乳腺诊断方面有较高应用价值。-By contrast limited adaptive histogram eq
MammographicImagesEnhancementand
- 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
julei
- 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic mod
NB_breast_cancer_wisconsin_original
- 基于朴素贝叶斯的分类练习，在UCI数据库中的breast数据集上进行的测试-Bayesian classification based on practice, in the UCI database data set on breast test
breast
- 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
b
- medical image database breast cancer
breast
- breast cancer detection using ANN image
breast
- breast edge detection program
breast-cancer-diagnosis
- Matlab中LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
Breast-Cancer-Diagnosis-via-Linear-Programming.ra
- medical image fusion in breast cancer.