RU-Net2+: A Deep Learning Algorithm for Accurate Brain Tumor Segmentation and Survival Rate Prediction
Ruqsar Zaitoon,
Hussain Syed
Abstract:Brain tumors present a significant medical concern, posing challenges in both diagnosis and treatment. Deep learning has emerged as an evolving technique for automating the diagnostic process for brain tumors. This research paper introduces a novel deep-learning framework designed explicitly for brain tumor diagnosis. The framework encompasses various tasks: tumor detection, classification, segmentation, and survival rate prediction. The framework was applied to the BraTS dataset, an extensive collection of br… Show more
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