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- W4385150368 abstract "This study has developed a computer-based technique in order to detect tumor regions in the human brain by employing magnetic resonance imaging (MRI) images. MRI is one of the medical imaging methods employed in radiology for the visualization of the internal structures of the human body. Using this technique, the acquired detailed anatomical data are used to examine the human brain development and detect its abnormalities. Initially, based on their health status, human brains are categorized into healthy brains and brains with tumors. The latter category is subdivided into those with malignant and benign tumors. There are a variety of techniques used to classify MRI images of the human brain today. The algorithm presented in this research is focused on preprocessing, augmentation, segmentation, and eventually morphological operations. The first step taken in the analysis of an MRI image is its preprocessing, which employs image improvement and noise reduction approaches used to enhance the quality of the image. The simplest technique of image segmentation is thresholding." @default.
- W4385150368 created "2023-07-23" @default.
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- W4385150368 date "2023-02-22" @default.
- W4385150368 modified "2023-09-24" @default.
- W4385150368 title "Diagnosis of Brain Tumor using MRI Techniques" @default.
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- W4385150368 doi "https://doi.org/10.1109/icecct56650.2023.10179841" @default.
- W4385150368 hasPublicationYear "2023" @default.
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