文件名称:PCA_classifier_version1b
介绍说明--下载内容均来自于网络,请自行研究使用
基于PCA的图像分类的方法,该方法效果好,易理解。-PCA-based image classification method, the method effective, easy to understand.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
PCA_classifier_version1b
........................\apply_model.m
........................\example_classifier_ms.m
........................\get_feature_vectors.c
........................\get_feature_vectors.m
........................\Literature
........................\..........\MICCAI_MS_Challenge_UTwente_Final.pdf
........................\TestData
........................\........\patient3_FLAIR.png
........................\........\patient3_T1.png
........................\........\patient3_T2.png
........................\train_model.m
........................\TrainingData
........................\............\patient1_FLAIR.png
........................\............\patient1_lesion.png
........................\............\patient1_T1.png
........................\............\patient1_T2.png
........................\............\patient2_FLAIR.png
........................\............\patient2_lesion.png
........................\............\patient2_T1.png
........................\............\patient2_T2.png
license.txt
........................\apply_model.m
........................\example_classifier_ms.m
........................\get_feature_vectors.c
........................\get_feature_vectors.m
........................\Literature
........................\..........\MICCAI_MS_Challenge_UTwente_Final.pdf
........................\TestData
........................\........\patient3_FLAIR.png
........................\........\patient3_T1.png
........................\........\patient3_T2.png
........................\train_model.m
........................\TrainingData
........................\............\patient1_FLAIR.png
........................\............\patient1_lesion.png
........................\............\patient1_T1.png
........................\............\patient1_T2.png
........................\............\patient2_FLAIR.png
........................\............\patient2_lesion.png
........................\............\patient2_T1.png
........................\............\patient2_T2.png
license.txt