Results 41 to 50 of about 1,217,238 (259)

Region proposal network for lung nodule detection and segmentation [PDF]

, 2021
© 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Lung nodule detection and segmentation play a critical role in detecting and determining the stage of lung cancer.
He, X, Hesamian, MH, Kennedy, P, Jia, W
core  

A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise.

PLoS ONE, 2017
The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the ...
Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang   +5 more
doaj   +1 more source

Dual-branch residual network for lung nodule segmentation [PDF]

Applied Soft Computing, 2020
24 pages, 6 ...
Haichao Cao, Hong Liu 0005, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu   +7 more
openaire   +3 more sources

Application of a Texture Appearance Model for Segmentation of Lung Nodules on Computed Tomography of the Chest

Известия высших учебных заведений России: Радиоэлектроника, 2022
Introduction. Lung cancer is one of the most critical diseases globally, with more than 1.6 million new cases registered every year. Early detection of lung cancer is essential; therefore, particular attention should be paid to the development of ...
F. Shariaty, V. A. Pavlov, S. V. Zavjalov, M. Orooji, T. M. Pervunina   +4 more
doaj   +1 more source

Analysis and processing of HRCT images of the lung for automatic segmentation and nodule detection [PDF]

, 2012
Automatic lung segmentation and lung nodule detection through High- Resolution Computed Tomography (HRCT) image is a new and exciting research in the area of medical image processing and analysis.
Chen, Huaqing
core   +1 more source

Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

IEEE Journal of Translational Engineering in Health and Medicine, 2018
Objective: chest computed tomography (CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection
Heewon Chung, Hoon Ko, Se Jeong Jeon, Kwon-Ha Yoon, Jinseok Lee   +4 more
doaj   +1 more source

Automatic detect lung node with deep learning in segmentation and imbalance data labeling

Scientific Reports, 2021
In this study, a novel method with the U-Net-based network architecture, 2D U-Net, is employed to segment the position of lung nodules, which are an early symptom of lung cancer and have a high probability of becoming a carcinoma, especially when a lung ...
Ting-Wei Chiu, Yu-Lin Tsai, Shun-Feng Su
doaj   +1 more source

Network Model for Lung Nodule Segmentation Based on Double Attention 3D-UNet [PDF]

Jisuanji gongcheng, 2021
In order to improve the segmentation integrity of large pulmonary nodules and the segmentation accuracy of small pulmonary nodules in computer-aided diagnosis systems,this paper constructs a Double Attention 3D-UNet(DA 3D-UNet) for lung nodule ...
WANG Pan, QIANG Yan, YANG Xiaotang, HOU Tengxuan
doaj   +1 more source

Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework

IEEE Access, 2023
This paper introduces an innovative model for precise extraction of lung nodules from 3D computed tomography (CT) scans. Our approach comprises two essential preprocessing stages aimed at refining search accuracy and nodule segmentation.
Bassant E. Youssef, Ahmed Alksas, Ahmed Shalaby, Ali H. Mahmoud, Eric Van Bogaert, Norah Saleh Alghamdi, Alyssa Neubacher, Sohail Contractor, Mohammed Ghazal, Adel S. Elmaghraby, Ayman El-Baz   +10 more
doaj   +1 more source

Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection

IEEE Access, 2023
Lung cancer is the most common cause of cancer deaths worldwide. Early detection is crucial for successful treatment and increasing patient survival rates.
Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, Muhammad Rashid, Arfan Jaffar   +4 more
doaj   +1 more source