Lung segmentation with NASNet-large-decoder net
Y Zhang - arXiv preprint arXiv:2303.10315, 2023 - arxiv.org
Lung cancer has emerged as a severe disease that threatens human life and health. The
precise segmentation of lung regions is a crucial prerequisite for localizing tumors, which …
precise segmentation of lung regions is a crucial prerequisite for localizing tumors, which …
Comprehensive and comparative global and local feature extraction framework for lung cancer detection using CT scan images
MA Alzubaidi, M Otoom, H Jaradat - IEEE Access, 2021 - ieeexplore.ieee.org
Lung cancer is reported to be the second most common cancer disease. This paper
proposes a comprehensive and comparative global and local feature extraction framework …
proposes a comprehensive and comparative global and local feature extraction framework …
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM
AM Santos, AO de Carvalho Filho, AC Silva… - … applications of artificial …, 2014 - Elsevier
Lung cancer stands out among all other types of cancer for presenting one of the highest
incidence rates and one of the highest rates of mortality. Unfortunately, this disease is often …
incidence rates and one of the highest rates of mortality. Unfortunately, this disease is often …
[HTML][HTML] Automatic segmentation of lung nodules with growing neural gas and support vector machine
Lung cancer is distinguished by presenting one of the highest incidences and one of the
highest rates of mortality among all other types of cancer. Unfortunately, this disease is often …
highest rates of mortality among all other types of cancer. Unfortunately, this disease is often …
Lung nodule detection in CT images using statistical and shape-based features
The lung tumor is among the most detrimental kinds of malignancy. It has a high occurrence
rate and a high death rate, as it is frequently diagnosed at the later stages. Computed …
rate and a high death rate, as it is frequently diagnosed at the later stages. Computed …
[PDF][PDF] Artificial neural network based classification of lungs nodule using hybrid features from computerized tomographic images
An automated pulmonary nodule detection system is necessary to help radiologist to identify
and detect the nodules at early stage. In this paper, a novel pulmonary nodule detection …
and detect the nodules at early stage. In this paper, a novel pulmonary nodule detection …
Pulmonary nodules detection and classification using hybrid features from computerized tomographic images
To identify and detect the nodule at early stage, efficient pulmonary nodule detection system
is required. A novel pulmonary nodule detection system using support vector machine …
is required. A novel pulmonary nodule detection system using support vector machine …
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques
A computer-aided diagnostic (CAD) system for effective and accurate pulmonary nodule
detection is required to detect the nodules at early stage. This paper proposed a novel …
detection is required to detect the nodules at early stage. This paper proposed a novel …
Cavitary nodule segmentation in computed tomography images based on self–generating neural networks and particle swarm optimisation
J Zhao, G Ji, Y Xia, X Zhang - International Journal of Bio …, 2015 - inderscienceonline.com
Lung nodule segmentation is an important pre–processing step for analysis of solitary
pulmonary nodules in computed tomography (CT) imaging. However, the previous nodule …
pulmonary nodules in computed tomography (CT) imaging. However, the previous nodule …
Convolutional neural network approach for the detection of lung cancers in chest X-ray images
DAA Deepal, TGI Fernando - Deep Learning for Cancer Diagnosis, 2021 - Springer
Chest X-rays are considered to be the most widely used technique within the health industry
for the detection of lung cancers. Nevertheless, it is very difficult to identify lung nodules …
for the detection of lung cancers. Nevertheless, it is very difficult to identify lung nodules …