MRI brain tumor detection using optimal possibilistic fuzzy C-means clustering algorithm and adaptive k-nearest neighbor classifier
DM Kumar, D Satyanarayana, MNG Prasad - Journal of Ambient …, 2021 - Springer
Brain tumor characterizes the aggregation of abnormal cells in specific tissues of the brain
zone. The prior distinguishing proof of brain tumors has a huge influence on the treatment …
zone. The prior distinguishing proof of brain tumors has a huge influence on the treatment …
Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification
Neurological and brain-related cancers are one of the main causes of death worldwide. A
commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI) …
commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI) …
Improved Brain Tumor Segmentation and Classification in Brain MRI with FCM-SVM: A Diagnostic Approach
Cancer associated with the nervous system and brain tumors ranks among the leading
causes of death in various countries. Magnetic resonance imaging (MRI) and computed …
causes of death in various countries. Magnetic resonance imaging (MRI) and computed …
[PDF][PDF] Contrast Normalization Strategies in Brain Tumor Imaging: From Preprocessing to Classification.
Cancer-related to the nervous system and brain tumors is a leading cause of mortality in
various countries. Magnetic resonance imaging (MRI) and computed tomography (CT) are …
various countries. Magnetic resonance imaging (MRI) and computed tomography (CT) are …