Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images
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2022-01-01
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In this work, we have proposed a method that combines multiscale and multidimensional approaches with Shannon entropy, named HM. The method was combined with other fractal and sample entropy techniques and tested on H&E colorectal images. The results provided an accuracy of 95.36% for the combination HM and SampEnMF. The combinations and analyses presented here are important contributions to the Literature focused on the investigation of techniques for the development of computer-aided diagnosis.
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International Conference on Systems, Signals, and Image Processing, v. 2022-June.
