Modeling of Articular Cartilage with Goal of Early Osteoarthritis Extraction Based on Local Fuzzy Thresholding Driven by Fuzzy C-Means Clustering-Reference-Cited by-同舟云学术

Modeling of Articular Cartilage with Goal of Early Osteoarthritis Extraction Based on Local Fuzzy Thresholding Driven by Fuzzy C-Means Clustering

Published:2019 Issue: Volume: Page:289-299
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
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Author:

Kubicek Jan,Krestanova Alice,Penhaker Marek,Augustynek Martin,Cerny Martin,Oczka David

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-14802-7_25

Reference13 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J Kubicek,2018

2. Kubicek, J., Vicianova, V., Penhaker, M., Augustynek, M.: Time deformable segmentation model based on the active contour driven by Gaussian energy distribution: extraction and modeling of early articular cartilage pathological interuptions. Front. Artif. Intell. Appl. 297, 242–255 (2017)

3. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;J Kubicek,2016

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J Kubicek,2014

5. Kim, J.J., Nam, J., Jang, I.G.: Fully automated segmentation of a hip joint using the patient-specific optimal thresholding and watershed algorithm. Comput. Methods Programs Biomed. 154, 161–171 (2018)

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1. Novel Hybrid Optimized Clustering Schemes with Genetic Algorithm and PSO for Segmentation and Classification of Articular Cartilage Loss from MR Images;Mathematics;2023-02-17