Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest-Reference-Cited by-同舟云学术

Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest

Published:2022-01 Issue: Volume:140 Page:105086
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Shariaty Faridoddin^ORCID,Orooji Mahdi,Velichko Elena N.^ORCID,Zavjalov Sergey V.^ORCID

Funder

Russian Foundation for Basic Research

Iran National Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference73 articles.

1. New Mexico Cancer Center;Center,2021

2. Шариати, Ф. (2021). Выявление признаков заболеваний легких компьютерными методами: выпускная квалификационная работа магистра: направление 11.04. 02 «Инфокоммуникационные технологии и системы связи»; образовательная программа 11.04. 02_07 «Лазерные и оптоволоконные системы (международная образовательная программа)».

3. Application of cad systems for the automatic detection of lung nodules;Shariaty;Inform. Med.,2019

4. Soft computing approach to 3d lung nodule segmentation in ct;Badura;Comput. Biol. Med.,2014

5. Radiomics-based prognosis analysis for non-small cell lung cancer;Zhang;Sci. Rep.,2017

Cited by 23 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. Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques;Expert Systems with Applications;2024-12

2. An intelligent deep hash coding network for content-based medical image retrieval for healthcare applications;Egyptian Informatics Journal;2024-09

3. A texture feature extraction method considering spatial continuity and gray diversity;International Journal of Applied Earth Observation and Geoinformation;2024-06

4. Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey;Archives of Computational Methods in Engineering;2024-05-22

5. GPU-accelerated lung CT segmentation based on level sets and texture analysis;Scientific Reports;2024-01-16