Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images

In this work, we have proposed a method that combines multiscale and multidimensional approaches with Shannon entropy, named H M . 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 H M and SampEn MF . 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.