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Balamurugan et al., 2023 - Google Patents

Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier

Balamurugan et al., 2023

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Document ID
12015756638872756714
Author
Balamurugan T
Gnanamanoharan E
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

Brain tumour detection is essential for improving patient survival and prospects. This research work necessitates a physical examination with magnetic resonance imaging (MRI). As a result, computational algorithms are required for more accurate tumour diagnosis …
Continue reading at www.researchsquare.com (PDF) (other versions)

Classifications

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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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    • G06T2207/10088—Magnetic resonance imaging [MRI]
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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