Results 221 to 230 of about 1,217,238 (259)

Lung Nodule Segmentation Using UNet

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021
Cancer is a major public stumbling block in health worldwide. The highest morbidity and mortality among both men and women were found due to lung cancer. Segmentation of the lung nodule plays a vital role in the treatment of lung cancer. This paper aims to segment such lung nodules using the Computed Tomography (CT) images.
S Niranjan Kumar, P. Malin Bruntha, S Isaac Daniel, J. Ajay Kirubakar, R Elaine Kiruba, Siril Sam, S. Immanuel Alex Pandian   +6 more
openaire   +1 more source

A Review on Lung Nodule Segmentation Techniques for Nodule Detection

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
In the medical domain of lung cancer diagnosis, automatic detection of lung nodules depends on the segmentation of different components related to pulmonary like airways, lobes, vessels from different types of imaging techniques such as CTs, MRIs, US, X-ray, etc., Since the biomedical image features are varying, segmentation of lung nodules in Computer
M. Lavanya, M. Arivalagan, P.Hosanna Princye, S. Sivasubramanian, S. Madhu   +4 more
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Variational approach for segmentation of lung nodules

2011 18th IEEE International Conference on Image Processing, 2011
Lung nodules from low dose CT (LDCT) scans may be used for early detection of lung cancer. However, these nodules vary in size, shape, texture, location, and may suffer from occlusion within the tissue. This paper presents an approach for segmentation of lung nodules detected by a prior step.
Amal A. Farag, Hossam E. Abdelmunim, James H. Graham, Aly A. Farag, Salwa Elshazly, Sabry El-Mogy, Mohamed S. El-Mogy, Robert Falk, Sahar Al-Jafary, Hani Mahdi 0001, Rebecca Milam   +10 more
openaire   +2 more sources

Automated lung nodule detection and segmentation

SPIE Proceedings, 2009
A computer-aided detection (CAD) system for lung nodules in CT scans was developed. For the detection of lung nodules two different methods were applied and only pixels which were detected by both methods are marked as true positives. The first method uses a multi-threshold algorithm, which detect connected regions within the lung that have an ...
Christian Schneider, Azad Amjadi, Anja Richter, Martin Fiebich   +3 more
openaire   +1 more source

A neural network approach to lung nodule segmentation

SPIE Proceedings, 2016
Computed tomography (CT) imaging is a sensitive and specific lung cancer screening tool for the high-risk population and shown to be promising for detection of lung cancer. This study proposes an automatic methodology for detecting and segmenting lung nodules from CT images.
Yao-Xiu Hu, Prahlad G. Menon
openaire   +1 more source

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Many medical images domains suffer from inherent ambiguities. A feasible approach to resolve the ambiguity of lung nodule in the segmentation task is to learn a distribution over segmentations based on a given 2D lung nodule image. Whereas lung nodule with 3D structure contains dense 3D spatial information, which is obviously helpful for resolving the ...
Xiaojiang Long, Wei Chen 0090, Qiuli Wang 0001, Xiaohong Zhang 0002, Chen Liu 0026, Yucong Li, Jiuquan Zhang   +6 more
openaire   +1 more source

An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy [PDF]

Computers in Biology and Medicine, 2015
Computer-aided detection and diagnosis (CAD) has been widely investigated to improve radiologists׳ diagnostic accuracy in detecting and characterizing lung disease, as well as to assist with the processing of increasingly sizable volumes of imaging. Lung
Alex Bui, William Hsu, Jason Cong
exaly   +2 more sources

Computer simulation for segmentation of lung nodules in CT images

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
Automated lung nodule detection through computed tomography (CT) image segmentation is a new and exciting research area of medical image processing. We are currently developing a nodule detection system. For the testing stage we have developed a method to insert simulated lung nodules into CT images.
Maciej Dajnowiec, Javad Alirezaie
openaire   +1 more source

Automatic Detection and Segmentation of Lung Nodule on CT Images

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2018
Lung nodule detection and segmentation is important for clinical diagnosis. This paper proposes a lung nodule detection and segmentation method based on a fully convolutional network (FCN), the level set method and other image processing techniques. Firstly, lung CT images are put into the FCN for lung segmentation.
Chunran Yang, Yuanvuan Wang, Yi Guo
openaire   +1 more source

A Review on Lung and Nodule Segmentation Techniques

2020
Computer Aided Diagnosis (CAD) systems for automatic detection of pulmonary diseases and lung cancer mainly depend on the segmentation of different pulmonary components like right and left lung lobes, airways, vessels, and nodules from the medical imaging modalities like CTs, MRIs, etc.
Bhawana Kamble, Satya Prakash Sahu, Rajesh Doriya   +2 more
openaire   +1 more source