Results 231 to 240 of about 1,217,238 (259)

Lung Nodule Segmentation Using Pleural Wall Shape

2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018
A lung nodule segmentation method is proposed to deal with juxta-pleural nodules in CT scans by smartly wrapping pleural wall shape into segmentation. The global pleural wall shape model is estimated by components analysis from adjacent CT slices to capture its invariant features of anatomical structure.
Yunfei Li 0005, Xiang Xie, Guolin Li, Zhihua Wang 0001   +3 more
openaire   +1 more source

A Texture-Based Probabilistic Approach for Lung Nodule Segmentation

2011
Producing consistent segmentations of lung nodules in CT scans is a persistent problem of image processing algorithms. Many hard-segmentation approaches are proposed in the literature, but soft segmentation of lung nodules remains largely unexplored. In this paper, we propose a classification-based approach based on pixel-level texture features that ...
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob Furst 0001, Samuel G. Armato III   +5 more
openaire   +2 more sources

AN IMPROVED RANDOM WALK SEGMENTATION ON THE LUNG NODULES

International Journal of Biomathematics, 2013
In this paper, we proposed a semi-automatic technique with a marker indicating the target to locate and segment nodules. For the lung nodule detection, we develop a Gabor texture feature by FCM (Fuzzy C Means) segmentation. Given a marker indicating a rough location of the nodules, a decision process is followed by applying an ellipse fitting ...
LI GUO, YUNTING ZHANG, ZEWEI ZHANG, DONGYUE LI, YING LI   +4 more
openaire   +1 more source

Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules

2014
In a lung nodule detection task, parenchyma segmentation is crucial to obtain the region of interest containing all the nodules. Thus, the challenge is to devise a methodology that includes all the lung nodules, particularly those close to the walls, as the juxtapleural nodules.
Jorge Novo, José Rouco, Ana Maria Mendonça, Aurélio J. C. Campilho   +3 more
openaire   +2 more sources

Lung Nodule Segmentation Using EM Algorithm

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014
Lung disease is often performed as nodules. Pulmonary nodule is one of important symbols of lung disease. Characteristics of pulmonary nodules always indicate the nature of lung disease. Detection of pulmonary nodules has great significance in diagnosing lung cancer. Study of pulmonary nodules is now a hot research.
Yiming Qian, Weng Guirong
openaire   +1 more source

Segmentation of Lung Nodules in CT Scan Data

International Journal of Privacy and Health Information Management, 2015
Developing an effective computer-aided diagnosis (CAD) system for lung cancer is of great clinical importance and can increase the patient's chance of survival. For this reason, CAD systems for lung cancer have been investigated in a huge number of research studies.
Shehzad Khalid, Anwar C. Shaukat, Amina Jameel, Imran Fareed   +3 more
openaire   +1 more source

Variational approach for small-size lung nodule segmentation

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013
This paper describes a novel variational approach for segmentation of small-size lung nodules which may be detected in low dose CT (LDCT) scans. These nodules do not possess distinct shape or appearance characteristics; hence, their segmentation is enormously difficult, especially at small size (≤ 1 cm).
openaire   +2 more sources

Lung nodule segmentation and detection in computed tomography

2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), 2017
Computer Aided Detection (CAD) systems provide a second opinion to radiologists in detecting lung cancer by providing automated analysis of the scans. The proposed CAD system consists of five processing steps: image acquisition, preprocessing, lung segmentation, nodule detection and false positive reduction.
Salsabil Amin El-Regaily, Mohammed Abdel Megeed Salem, Mohamed Hassan Abdel Aziz, Mohamed Ismail Roushdy   +3 more
openaire   +1 more source

Fuzzy image segmentation for lung nodule detection

SPIE Proceedings, 2004
This paper focuses on evaluating three fuzzy image segmentation algorithms in lung nodule detection scenario: fuzzy entropy-based method, multivariate fuzzy C-means method (MFCM), adaptive fuzzy C-means method (AFCM) and comparing them with the iterative threshold selection method.
Yue Shen, Ravi T. Sankar, Wei Qian, Xuejun Sun, Dansheng Song   +4 more
openaire   +1 more source

Feature-Based Supervised Lung Nodule Segmentation

2014
Lung nodule segmentation allows for automatic measurement of the nodule’s size or volume which is of utmost importance in lung cancer diagnosis. It is a challenging task since there are many different types of nodules (solid or non-solid, solitary or multiple, etc).
D. M. Campos, A. Simões, I. Ramos, A. Campilho   +3 more
openaire   +1 more source