Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation

Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation

In this paper, we propose a novel image segmentation algorithm that is based on the probability distributions of the object and background. It uses the variational level sets formulation with a novel region based term in addition to the edge-based term giving a complementary functional, that can pot...

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Bibliographic Details
Main Authors: Farhan Riaz, Saad Rehman, Muhammad Ajmal, Rehan Hafiz, Ali Hassan, Naif Radi Aljohani, Raheel Nawaz, Rupert Young, Miguel Coimbra
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Gaussian mixture model
level sets
active contours
biomedical engineering
Online Access:https://ieeexplore.ieee.org/document/8962095/

Internet

https://ieeexplore.ieee.org/document/8962095/

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