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- W1980045282 abstract "This paper investigates the combination of multiresolution methods for feature extraction for lung cancer. The focus is on the impact of combining wavelet and curvelet on the accuracy of the disease diagnosis. The paper investigates feature extraction with two different levels of wavelet, two different wavelet functions and the combination of wavelet and curvelet to obtain a high classification rate. The findings suggest the potential of combining different multiresolution methods in achieving high accuracy rates." @default.
- W1980045282 created "2016-06-24" @default.
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- W1980045282 date "2013-07-01" @default.
- W1980045282 modified "2023-09-26" @default.
- W1980045282 title "On the combination of wavelet and curvelet for feature extraction to classify lung cancer on chest radiographs" @default.
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- W1980045282 doi "https://doi.org/10.1109/embc.2013.6610340" @default.
- W1980045282 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24110527" @default.
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