计算机科学
人工智能
深度学习
个性化
图像(数学)
机器学习
模式识别(心理学)
脑瘤
万维网
病理
医学
作者
BharathSimhaReddy Maram,Pooja Rana
标识
DOI:10.1109/icrito51393.2021.9596530
摘要
Main objective of this framework is to build a efficient deep learning model to detect the brain tumor. In this paper, the framework mainly focuses on the detection of brain tumor MRI images from the BraTS2020 dataset which is a part of the MICCAI BraTS2020 challenge, using U-Net architecture which is suitable for quick and accurate image classification and achieved a training accuracy of 98.485%. When compared to other architectures on BraTs2020 dataset, U-Net architecure with customization provides better results.
科研通智能强力驱动
Strongly Powered by AbleSci AI