Frequent CNN based ensembling for MRI classification for Abnormal Brain Growth detection
V. V. Bag,
M.B. Patil,
Sanika Nagnath Kendre
Abstract:Digital image processing is a key player in the analysis of medical images, particularly in understanding the intricacies of abnormal brain growth development. Notably, the application of CNN algorithms to MRI images accelerates abnormal brain growth detection with enhanced accuracy; facilitating prompt decision-making by radiologists. This research focuses on finding abnormal brain growth using advanced CNN computer techniques. The study is split into three main steps. In the first step, brain MRI images are … Show more
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