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Classifying Three Types of Brain Tumor
This project forked from gopiprasanthpotipireddy/braintumorclassification
Classifying Three Types of Brain Tumor
This brain tumor dataset containing 3064 T1-weighted contrast-inhanced images from 233 patients with three kinds of brain tumor: meningioma (708 slices), glioma (1426 slices), and pituitary tumor (930 slices). Due to the file size limit of repository, we split the whole dataset into 4 subsets, and achive them in 4 .zip files with each .zip file containing 766 slices.The 5-fold cross-validation indices are also provided. -------- This data is organized in matlab data format (.mat file). Each file stores a struct containing the following fields for an image: cjdata.label: 1 for meningioma, 2 for glioma, 3 for pituitary tumor cjdata.PID: patient ID cjdata.image: image data cjdata.tumorBorder: a vector storing the coordinates of discrete points on tumor border. For example, [x1, y1, x2, y2,...] in which x1, y1 are planar coordinates on tumor border. It was generated by manually delineating the tumor border. So we can use it to generate binary image of tumor mask. cjdata.tumorMask: a binary image with 1s indicating tumor region ----- This data was used in the following paper: 1. Cheng, Jun, et al. "Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition." PloS one 10.10 (2015). 2. Cheng, Jun, et al. "Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation." PloS one 11.6 (2016). Matlab source codes are available on github https://github.com/chengjun583/brainTumorRetrieval ----- #These are the images with (256,256) pixels while all remaining in the 3064 images are (512,512) #Corrupted images 954 955 956 1069 1070 1071 1072 1073 1074 1075 1202 1203 1204 1205 1206 #Imputed the above images and converted to (512,512)
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