Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convolutional neural networks (CNNs) to enhance the performance of brain tumor segmentation. In...
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Full title
Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
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TN_cdi_doaj_primary_oai_doaj_org_article_578c4b923fb24a8e8ba39d0be20decfa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_578c4b923fb24a8e8ba39d0be20decfa
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics13162650
