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deboor-cox.rar
- 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
lungbayesdemo
- 这个软件主要用Bayes分析肺癌的早期诊断，早在X光片也无法确定时用先验分布计算后验分布概率，估计对医生有些实际价值。-This software is mainly used Bayes analysis of lung cancer, early diagnosis, early X-ray films can not be used to determine the prior distribution when calculating the posterior distribution
lungbayesdemo
- 在matlab软件上模拟肺肿瘤生长，吸烟是诱发肺肿瘤的主要原因。-Matlab software to simulate the growth of lung cancer, lung cancer induced by smoking is the main reason.
Matlabimage
- 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
LUNG
- Lung cancer extraction in matlab
Zeft-Lung-Cancer
- zeft lung cancer is fuzzy system example which determine zeft lung cancer risk with smoking habits .. we use sugeno model for defuzzification
Lung-Cancer-Detection
- Lung Cancer Detection in matlab
bicubicInterpolation
- bicubic interpolation techniques for lung cancer images
SuperResolutionImage
- super resolution technique for lung cancer images with various techniques
Insight-Journal_109_2
- Database for lung cancer research. It includes the ground truth images.
which has a high mortality and the greatest incidence worldwide
- Lung cancer, which has a high mortality and the greatest incidence worldwide, can be diagnosed with the aid of chest x-rays or computerized tomography (CT). Some computer-aided diagnosis (CAD) systems have been developed to help physicians diag
Lung_cancer_B_splines
- Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Computed tomography (CT) shows promise in detecting lung cancers at earlier, more operable stages, when survival is better. CT scans generate multiple 2-D slice images o
Tidwell_Nature_2012
- p rimary lung cancer remains the leading cause of cancer-related death in the Western world, and the lung is a common site for recurrence of extrathoracic malignancies. Ssmall-animal (rodent) models of cancer can have a very valuable role in the de
lungbayesdemo
- Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks
Loggabor-Lung-cancer-detection
- Loggabor Lung cancer detection Steps 1. First enter the patient ID 2. Enter patients mail ID 3. Select Input image cross sectional view of lungs • After selection the image histogram equalized, • Gabor filterd enhance the ima
CAD-Lung
- This function extract a binary image gray scale image using auto-tuned threshold value obtained the correlation of Image euler numbers. This work had been published in L.P Wong, H.T Ewe. A Study of Lung Cancer Detection using Chest
lung-cancer-using-neural-network
- lung cancer detection using nural network
lung-cncer-GA-SVM
- lung cancer automatic detection based on genetic algorithm and support vector machine classifier
Diagnosis of Lung Cancer MATLAB
- Diagnosis of Lung Cancer MATLAB CODE
Lung-cancer
- Detection of lung cancer