Optimized Brain Tumour Segmentation and Classification Using VGG UNET and VGG-19 with ABC-WOA Algorithm
Pooja Sharma
Abstract:Accurate brain tumour classification is essential for treatment planning and patient care in medical image analysis. In this study, we used sophisticated deep learning algorithms to improve brain tumour categorization. We used VGG-UNET for segmentation to precisely delineate tumour locations in MRI scans and VGG-19 for classification, a popular convolutional neural network architecture for image classification. We used a hybrid ABC-WOA hyperparameter tweaking technique to increase the accuracy and resilience o… Show more
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