An Optimized Approach for Prostate Image Segmentation Using K-Means Clustering Algorithm with Elbow Method
Prostate cancer disease is one of the common types that cause men’s prostate damage all over the world. Prostate-specific membrane antigen (PSMA) expressed by type-II is an extremely attractive style for imaging-based diagnosis of prostate cancer. Clinically, photodynamic therapy (PDT) is used as no...
Saved in:
Main Authors: | Rachid Sammouda, Ali El-Zaart |
---|---|
Format: | article |
Language: | EN |
Published: |
Hindawi Limited
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/2c15ec7e00e04808999f1ddebcd5e96c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm
by: Xiuzhen Cai, et al.
Published: (2021) -
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
by: Arne Peine, et al.
Published: (2021) -
A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection
by: S. Sankar Ganesh, et al.
Published: (2021) -
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer
by: Roman Zeleznik, et al.
Published: (2021) -
Pairwise Biological Network Alignment Based on Discrete Bat Algorithm
by: Jing Chen, et al.
Published: (2021)