HIGHLIGHTS
- who: Dheerendranath Battalapalli from the (UNIVERSITY) have published the Article: An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices, in the Journal: (JOURNAL)
- what: The authors aimed compare and contrast different brain tumor segmentation algorithms (from low to high end in the hierarchy) i.e. the region growing, FCM and DNN using the clinical dataset as well as BRATS dataset. By doing this the authors aimed to identify a robust automated brain tumor segmentation algorithm that suits best for the clinical data like ours. The primary reasons . . .
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