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Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data

Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi. Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. In 2021 IEEE AFRICON, Arusha, Tanzania, United Republic of, September 13-15, 2021. pages 1-6, IEEE, 2021. [doi]

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Andrea Koble

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Ágnes Gyorfi

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Szabolcs Csaholczi

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Béla Surányi

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Lehel Dénes-Fazakas

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Levente Kovács

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László Szilágyi

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