Multistage Segmentation of Prostate Cancer Tissues Using Sample Entropy Texture Analysis

In this study, a multistage segmentation technique is proposed that identifies cancerous cells in prostate tissue samples. The benign areas of the tissue are distinguished from the cancerous regions using the texture of glands. The texture is modeled based on wavelet packet features along with sampl...

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Bibliografiske detaljer

Principais autores:	Tariq Ali, Khalid Masood, Muhammad Irfan, Umar Draz, Arfan Ali Nagra, Muhammad Asif, Bandar M. Alshehri, Adam Glowacz, Ryszard Tadeusiewicz, Mater H. Mahnashi, Sana Yasin
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-12-01
Serier:	Entropy
Fag:	wavelet packets sample entropy mean-shift segmentation dice coefficient
Online adgang:	https://www.mdpi.com/1099-4300/22/12/1370
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