Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods.
Journal:
Asian Pacific journal of cancer prevention : APJCP
Published Date:
Jun 1, 2023
Abstract
OBJECTIVE: Brain Tumor diagnostic prediction is essential for assisting radiologists and other healthcare professionals in identifying and classifying brain tumors. For the diagnosis and treatment of cancer diseases, prediction and classification accuracy are crucial. The aim of this study was to improve ensemble deep learning models for classifing brain tumor and increase the performance of structure models by combining different model of deep learning to develop a model with more accurate predictions than the individual models.