文件名称:PCA_classifier
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A basic PCA classifier is provided here for a two class classification problem.
An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.
An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.
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下载文件列表
PCA_classifier\license.txt
..............\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
..............\........................\Literature
..............\........................\TestData\patient3_FLAIR.png
..............\........................\........\patient3_T1.png
..............\........................\........\patient3_T2.png
..............\........................\TestData
..............\........................\.rainingData\patient1_FLAIR.png
..............\........................\............\patient1_lesion.png
..............\........................\............\patient1_T1.png
..............\........................\............\patient1_T2.png
..............\........................\............\patient2_FLAIR.png
..............\........................\............\patient2_lesion.png
..............\........................\............\patient2_T1.png
..............\........................\............\patient2_T2.png
..............\........................\TrainingData
..............\........................\train_model.m
..............\PCA_classifier_version1b
PCA_classifier
..............\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
..............\........................\Literature
..............\........................\TestData\patient3_FLAIR.png
..............\........................\........\patient3_T1.png
..............\........................\........\patient3_T2.png
..............\........................\TestData
..............\........................\.rainingData\patient1_FLAIR.png
..............\........................\............\patient1_lesion.png
..............\........................\............\patient1_T1.png
..............\........................\............\patient1_T2.png
..............\........................\............\patient2_FLAIR.png
..............\........................\............\patient2_lesion.png
..............\........................\............\patient2_T1.png
..............\........................\............\patient2_T2.png
..............\........................\TrainingData
..............\........................\train_model.m
..............\PCA_classifier_version1b
PCA_classifier