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- 3d 重建 包括特征点的提取，匹配，以及三维点云的建立fuzzy.zip
- Brain tumor segmentation using fuzzy logic.It is also used in classification and enhancementbrain_tumor_fcm.zip
- In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
- CNN - Convolutional neural network for brain tumorBrain_Tumor.zip
- Segmentation and Detection of tumor type by comparing accuracy(RBF,Linear,Polygonal,Quadratic)fwd1stctn2ndcetofbraintumor.zip
- Brain Tumor Image Fusion TechniqueBrain_Segmentation.rar
- Brain Tumor SegmentationBrain-tumor-Segmentation-master.zip
- it belongs to tumor Segmentationbrain-tumor.rar
- K-Means for brain tumor analysisbrain.rar
- brain tumor detectionBRAIN-TUMOR.rar
- brain tumor detection using matlabMS_final.zip
- Feature vector Extraction.
- A FAST METHOD FOR COMPUTING AND CORRECTING INTENSITY
INHOMOGENEITIES IN MRIPCA_classifier.rar
- 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.