BrainCancer-Detection-Using-Matlab
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：0KB
下载次数：2
上传日期：2021-12-10 16:06:46
上 传 者：
sh-1993
说明： 在MATLAB中使用图像处理和深度学习将大脑MRI扫描体积分类为参与者的时间年龄。，
(Classification of Brain MRI scan volumes into chronological age of participants using image processing and deep learning in MATLAB.,)
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1.JPG (9809, 2021-12-10)
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2DImageSet_20210414T012623/ (0, 2021-12-10)
2DImageSet_20210414T012623/Adults/ (0, 2021-12-10)
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# BrainCancer-Detection-Using-Matlab
Classification of Brain MRI scan volumes into chronological age of participants using image processing and deep learning in MATLAB.
We have used brain MRI dataset that is publicly available for our project. We will use this to classify the brain volumes into 3 categories, Ages 3-5, Ages 7-12, Adults. Firstly, we have preprocessed our dataset using many methods available in the Image Processing Toolbox. Pre-processing steps include applying skull stripping, random rotation and image resizing. We then use this augmented dataset for classification. We have used ResNet-18 to extract features from the brain volumes and use the extracted features to train a classification model. The ResNet-18 model is taken from the Deep Learning Toolbox provided by MATLAB. After training the classification model, we will use it to evaluate its predictions on random images from the dataset.
## Architecture of the model
## Output Screenshots
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