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- W2763096131 abstract "In this work we propose a comparative study between different descriptors in analysing histological images. In particular, our study is focused on measuring the accuracy of moments (Hu, Legendre, Zernike), Local Binary Patterns and co-occurrence matrices in classifying histological images. The experimentation has been conducted on well known public datasets: HistologyDS, Pap-smear, Lymphoma, Liver Aging Female, Liver Aging Male, Liver Gender AL and Liver Gender CR. The comparison results show that when combined with co-occurrence matrices and extracted from the RGB images, the orthogonal moments improve the classification performance considerably, imposing themselves as very powerful descriptors for histological image analysis." @default.
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- W2763096131 date "2017-01-01" @default.
- W2763096131 modified "2023-09-27" @default.
- W2763096131 title "Histological Image Analysis by Invariant Descriptors" @default.
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- W2763096131 doi "https://doi.org/10.1007/978-3-319-68560-1_31" @default.
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