搜索资源列表
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
b
- medical image database breast cancer
bp
- 神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
New-Folder-(13)
- in this code outline of the breast is find out and analysing the cancer .-in this code outline of the breast is find out and analysing the cancer .
convolution
- breast cancer detection
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
breastedge
- 乳腺图像轮廓提取,配准和分割的预处理工作-breast registration
breast-cancer-imaging-with-a-variabel-field-of-vi
- Medical Image Fusion in breast cancer.
5
- 乳腺癌的发病率在女性癌症中占据首位,开展乳腺癌的诊断和防治研究具有重要的科学意义和临床实用价值。 文中主要研究的是对超声图像进行分析,对其灰度和纹理特征提取进行研究,并在特征选择阶段使用类间距对单个特征的分 类能力进行评价,为后续研究计算机辅助诊断系统奠定一个初步基础。 -Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer
svm-Diagnosis-of-breast-cancer
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on electrical impedance characteristics of breast tissue diagnosis of breast cancer
breast-classification
- obtain the complete source code for Breast Density Classification System
breast-tumor-diagnosis-based-on-BP
- LVQ神经网络的分类——乳腺肿瘤诊断相关程序-The classification of LVQ neural network- breast cancer diagnosis relative program
Mammogram-breast-cancer-image-detection
- Mammogram breast cancer image detection MATLAB File
breast-segmentation
- breast cancer detection
MATLAB-breast-cancer-detection
- breast cancer detection matlab- breast cancer detection matlab
Breast-MRI
- 这是一组实验用的乳腺磁共振图像实测数据,可用于医学图像处理-This is a group of breast MRI experiment measured data can be used for medical image processing
[3]pawar2016
- Genetic Fuzzy System (GFS) based Wavelet Co-occurrence Feature selection in Mammogram Classification for Breast Cancer Diagnosis
breast-cancer-wisconsin.data
- 分类数据集,一般用于机器学习,数据挖掘等(breast;cancer;wisconsin;data)
Classification
- Breast cancer diagnsis
Segmentation
- Breast cancer segmentation