Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding-Reference-Cited by-同舟云学术

Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding

Published:2008 Issue:1 Volume:9 Page:1
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Ozekes Serhat¹,Osman Onur¹,Ucan Osman N.²

Affiliation:

1. Istanbul Commerce University, Ragip Gumuspala Cad. No: 84 34378 Eminonu, Istanbul, Turkey.

2. Istanbul University, Engineering Faculty, Electrical and Electronics Eng. Dept., 34850, Avcilar, Istanbul, Turkey.

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://synapse.koreamed.org/pdf/10.3348/kjr.2008.9.1.1

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients;European Journal of Radiology;2024-10

2. Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation;Neural Computing and Applications;2022-12-01

3. Auto diagnostic system for detecting solitary and juxtapleural pulmonary nodules in computed tomography images using machine learning;Neural Computing and Applications;2022-10-01

4. Characterization of different reconstruction techniques on computer-aided system for detection of pulmonary nodules in lung from low-dose CT protocol;Journal of Radiation Research and Applied Sciences;2022-09

5. Analysis of Healthcare Systems Using Computational Approaches;Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics;2022-05-27