Early and Accurate Model of Malignant Lung Nodule Detection System with Less False Positives
ABSTRACT The objective of this work is to identify the malignant lung nodules accurately and early with less false positives. ‘Nodule’ is the 3mm to 30mm diameter size tissue clusters present inside the lung parenchyma region. Segmenting such a small nodules from consecutive CT scan slices are a cha...
Main Authors: | Senthilkumar Krishnamurthy, Ganesh Narasimhan, Umamaheswari Rengasamy |
---|---|
Format: | Article |
Language: | English |
Published: |
Instituto de Tecnologia do Paraná (Tecpar)
2018-10-01
|
Series: | Brazilian Archives of Biology and Technology |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000100308&lng=en&tlng=en |
Similar Items
-
Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique
by: Diego M. Peña, et al.
Published: (2016-03-01) -
Segmentation of Lung Nodules Using Improved 3D-UNet Neural Network
by: Zhitao Xiao, et al.
Published: (2020-10-01) -
Towards Accurate Pulmonary Nodule Detection by Representing Nodules as Points With High-Resolution Network
by: Zehui Gong, et al.
Published: (2020-01-01) -
GGO lung nodule extraction methods of CT images
by: Tang Siyuan, et al.
Published: (2018-02-01) -
Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network
by: Zhitong Wu, et al.
Published: (2021-01-01)