Thresholding for Medical Image Segmentation for Cancer using Fuzzy Entropy with Level Set Algorithm.

Abstract:

:In this study, an effective means for detecting cancer region through different types of medical image segmentation are presented and explained. We proposed a new method for cancer segmentation on the basis of fuzzy entropy with a level set (FELs) thresholding. The proposed method was successfully utilized to segment cancer images and then efficiently performed the segmentation of test ultrasound image, brain MRI, and dermoscopy image compared with algorithms proposed in previous studies. Results showed an excellent performance of the proposed method in detecting cancer image segmentation in terms of accuracy, precision, specificity, and sensitivity measures.

journal_name

Open Med (Wars)

authors

Maolood IY,Al-Salhi YEA,Lu S

doi

10.1515/med-2018-0056

subject

Has Abstract

pub_date

2018-09-08 00:00:00

pages

374-383

issn

2391-5463

pii

med-2018-0056

journal_volume

13

pub_type

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