… of image preprocessing based on Shannon's entropy. The method is developed a specially
for microscopy images … Many variants of using entropy are described in the paper and …

… speed-up on entropy contribution as image preprocessing method based on Shannon's
entropy. The method is developed specially for microscopy images captured in phasecontrast …

… microscopes. In this chapter, a semi-automated approach is proposed by integrating the
Shannon's entropy (SE) … (CS) and SE-based pre-processing and DRLS-based post-processing …

… In this study, three types of preprocessing techniques were used (i) morphological top-hat
operation, (ii) contrast stretching and (iii) mean (and median) filtering. However, these …

… Entropy Energy – Jensen Shannon, Helinger and Triangle Measure Classifiers (DWEE— JHT)
for diagnosis of Breast cancer Cells from Microscopic Images … cancer cell image diagnosis…

… C The purpose of this study, using the AFM and SEM images of cervical cancer cells is tomake
an early diagnosis of cervical cancer. … In step 1 is the preprocessing step. In this step, of …

… for segmenting the leukocyte nuclei from microscopic image … have been compared with
Shannon entropy based divergence … Pre-processing of the grabbed images is done to determine …

… -based method [59], based on the classification of pixels into text, near-text, and non-text
regions was proposed as well, which utilized Shannon entropy, whereas Tsallis entropy was …

… to fill an important gap in WSI preprocessing, machine learning image analysis pipelines,
and … ) at 0.23 micron/pixel brightfield microscopy images 10 . The slides numbers used for this …

… preprocessing of acquired images) of cell structures in fluorescence confocal microscopy
images. … Shannon’s entropy and the proposed fractional entropy measure inspired by Rényi’s …