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)journal_title
Open medicine (Warsaw, Poland)authors
Maolood IY,Al-Salhi YEA,Lu Sdoi
10.1515/med-2018-0056subject
Has Abstractpub_date
2018-09-08 00:00:00pages
374-383issn
2391-5463pii
med-2018-0056journal_volume
13pub_type
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