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Diagnosis-Based-on
- 本文建立了一个基于模块化设计思路的计算机辅助诊断系统借以对乳腺钼靶图像上的微钙化点进行检测和模式识别。 -In this paper, a modular design concept based on computer-aided diagnostic system to mammography for breast microcalcifications on the image to detect and pattern re
maze
- 通过广度优先搜索的方法搜寻走通特定迷宫的最短路径-To find the nearest road in a maze by breast first search
BP-neural-network
- BP神经网络 乳腺癌诊断 自动选择最佳神经元个数-BP neural network automatically select the best breast cancer diagnosis the number of neurons
breast
- 简单的语言程序！比较简单，可很好的哦！以使用哦！-Simple language program! Relatively simple, you can use Oh!
hagness_IEEETAP_03
- 时域波束形成实现早期乳腺肿瘤检测,采用超宽带一阶高斯波-time beamforming for early breast cancer detection by UWB
source
- 《荡胸生层云C语言开发修行实录》书中的源码，看看学些还是有点帮助的！-《Dang stratus breast health practice developed in C Record》 the source book, take a look at some learn a little help!
MITAT-boshi
- 一篇关于乳腺癌早期检测的微波热致成像技术的研究论文，博士论文定稿-An early detection of breast cancer caused by microwave thermal imaging technology, research papers, thesis final
MITAT-xitong
- 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文-An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
MITAT-yuanxing
- 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文 -An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
multisensor-image-data-fusion-based-on-pixel-leve
- medical image fusion in breast cancer.
A-constrained-Modulus-Reconstruction-Technique-fo
- medical image fusion in breast cancer.
initially-study-of-an-asymetric-pet-system-dedica
- Medical Image Fusion in Breast Cancer.
Code
- the file is to detect the breast region of interest in matlab
Final_Report
- document for breast cancer detection
09_Yogaraj
- Breast cancer classification using HOS
microarray
- 本包中包含大量数据集，有基因微阵列数据，以及一些小样本数据。-include many dataset,such as colondata,breast and lund.
A_stationary_DBT_system
- 静态数字乳腺层析成像系统设计论文，国外高质量论文-stationary digital breast tomosynthesis system
pingjia
- 乳腺X线图像增强质量评价的ＭＡＴＬＡＢ程序，这里使用对比度和ＤＳＭ两种评价方法对乳腺Ｘ线图像增强方法的优劣做一个客观的评价。-Breast X-ray image enhancement the quality assessment of the MATLAB program, where the use of contrast and DSM two evaluation methods to make an objective as
tophat
- X线乳腺肿块检测,能够检测出来肿瘤区域，很好很强大-scan of breast
findseed
- 自己编写的函数，自动寻找乳腺肿块区域的种子点，为种子区域生长做准备，算法比较复杂-breast boundary.seed region growth