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Showing 1 to 6 of 6 for “"Brain tumor segmentation."”.
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Brain tumor segmentation with multimodal magnetic resonance imaging
Made available in DSpace on 2021-09-17T02:34:43Z (GMT). No. of bitstreams: 2 WANG-THESIS-2021.pdf: 1892077 bytes, checksum: fe6bc0de2dfc1d1451e42c22f85e49e1 (MD5) LICENSE.txt: 4204 bytes, checksum: 4e619a5d0afe426aea11320e559f16a5 (MD5) Previous issue date: 2021-04-26
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Recognizing deviations from normalcy for brain tumor segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm attempts to recognize deviations from normalcy in order to compute a fitness map over the image associated with the …
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Medical Image Analysis Based on Graph Machine Learning and Variational Methods
… explores advanced methodologies for enhancing brain tumor segmentation, addressing the complexity and diversity of tumor sub-regions in medical imaging. We introduce a novel approach utilizing Graph Neural Networks (GNNs) that incorporate both spectral and spatial insights for segmentation. By …
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Multi-class segmentation of brain tumor using Convolution Neural Network
… architecture is used to segment multi-modal Brain Tumors from Magnetic Resonance (MR) images. Due to the challenges in manual segmentation, computerized brain tumor segmentation is one of the most important challenges in medical imaging. The fully convolutional structure of the network makes …
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Improving Computational Efficiency of MRI Brain Tumour Analysis Using Hybrid Machine Learning Models
Brain tumor is a critical challenge in medical diagnostics, worsen by the high mortality rate and prevalence worldwide of the disease. Accurate and early detection is paramount to improving patient outcomes. This study focuses on evaluating the usefulness of machine learning (ML) and deep learning …
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Exploring Radiomics and Unveiling Novel Qualitative Imaging Biomarkers for Glioma Diagnosis in Dogs
… for diagnosing gliomas (GM), a challenging brain tumor where histopathology, the diagnostic gold standard, is seldom performed in veterinary medicine due to logistical and financial barriers, and it is also limited by inherent pathologist subjectivity and disagreement. Additionally, …