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  • Histological image classification using biologically interpretable shape-based features
    Sonal KothariJohn H PhanAndrew N Young and May D Wang

    Sonal is a PhD candidate at the Georgia Institute of Technology and is currently a graduate researcher in the BioMedical Informatics and Bio-Imaging Laboratory

    The paper discusses biologically interpretable shape-based features for automatic histological image classification. 
    • Automatic color segmentation with color normalization, to overcome color variations in tissue samples
    • Shape-based features using Fourier shape descriptors
    The case examined renal tumor histological subtype (4 subtypes) classification. It was found that:
    • Shape-based features complement or outperform other traditional features
    • Emerging patterns are easily interpretable

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