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Task: Brain Tumor Segmentation 1.You have been assigned with a dataset containing 4 different imaging modalities of brain MRI (Magnetic Resonance Imaging). The example images assigned are as follows:

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Task: Brain Tumor Segmentation

1.You have been assigned with a dataset containing 4 different imaging modalities of brain MRI (Magnetic Resonance Imaging). The example images assigned are as follows:

 

T1CE-Slice 65

T2-Slice 65

T1-Slice 65

Flair-Slice 65

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2.Notice that each modality contains different information, which can be utilized in order to segment brain tumour as follows:

 

Segmentation-Slice 65

 

 

 

 

 

 

 

 

 

 

 

 

3.A sample training dataset containing 15 images from T1, T1CE, T2, Flair, and Segmentation will be given as reference for students to study the features of brain tumor that needs to be segmented.

 

4.Design a segmentation algorithm that can produce the Segmentation data by using all four modalities. This algorithm should be able to produce all 15 different segmentation variations of the dataset assigned.

 

5.A testing dataset containing 15 images T1, T1CE, T2, and Flair modality is given without the segmentation data. Use your algorithm to process the testing dataset and save all 15 segmentation images in a folder. These images will be employed to test the performance of your algorithm.

 

6.Write a report of your research by using the “INSTRUCTIONS in page 2 and follow the template according to IEEE template as given. Report with this

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