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Dense Hierarchical CNN – A Unified Approach for Brain Tumor Segmentation
2021
Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information
Brain tumor segmentation is an essential and challenging task because of the heterogeneous nature of neoplastic tissue in spatial and imaging techniques. Manual segmentation of the tumor in MRI images is prone to error and time-consuming tasks. An efficient segmentation mechanism is vital to the accurate classification and segmentation of tumorous cells. This study presents an efficient hierarchical clustering-based dense CNN approach for accurately classifying and segmenting the brain tumor
doi:10.18280/ria.350306
fatcat:tayu2lcihve75kky72o6no5skm