Bidimensional Fuzzy Entropy: Principle Analysis and Biomedical Applications.

Clicks: 181
ID: 84182
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #115 of 127 articles by views in conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 127 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Since the 2010's, entropy measures have been extended from the 1D to the 2D case to deal with images and are forming potent bidimensional irregularity measures. In our work, we study a new 2D entropy measure - the so-called bidimensional fuzzy entropy (FuzEn) - that out-performs existing bidimensional entropy measures. We first assess its sensitivity to parameters, then analyze its behavior upon rotation and translation, and finally show its multiscale application in the biomedical field (dermoscopic images). To validate the output of the newly introduced FuzEn and its multiscale extension, a set of synthetic images based on several concepts in image processing (including power of noise and degree of randomness) and texture datasets are used. The results for synthetic images illustrate that FuzEn has low sensitivity to the chosen parameters and it is rotation and translation invariant. Moreover, it outperforms the already existing bidimensional entropy measures. Finally, we evaluate dermoscopic melanoma (malignant lesion) and melanocytic nevi (benign lesion) images and the results are found to be interesting for a potential diagnostic application.
Reference Key
hilal2019bidimensionalconference Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hilal, Mirvana;Humeau-Heurtier, Anne;
Journal conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference
Year 2019
DOI
10.1109/EMBC.2019.8857176
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.