Multistage Segmentation of Prostate Cancer Tissues Using Sample Entropy Texture Analysis

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Entropy
Subjects:
wavelet packets
sample entropy
mean-shift segmentation
dice coefficient
Online Access:https://www.mdpi.com/1099-4300/22/12/1370

Internet

https://www.mdpi.com/1099-4300/22/12/1370

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