Lung cancer identification: a review on detection and classification
SK Thakur, DP Singh, J Choudhary - Cancer and Metastasis Reviews, 2020 - Springer
Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey
R Mastouri, N Khlifa, H Neji… - Journal of X-ray …, 2020 - content.iospress.com
BACKGROUND: Lung cancer is the most common cancer in the world. Computed
tomography (CT) is the standard medical imaging modality for early lung nodule detection …
tomography (CT) is the standard medical imaging modality for early lung nodule detection …
[HTML][HTML] IGWO-IVNet3: DL-based automatic diagnosis of lung nodules using an improved gray wolf optimization and InceptionNet-V3
Artificial intelligence plays an essential role in diagnosing lung cancer. Lung cancer is
notoriously difficult to diagnose until it has progressed to a late stage, making it a leading …
notoriously difficult to diagnose until it has progressed to a late stage, making it a leading …
Lung nodule classification via deep transfer learning in CT lung images
RVM Da Nóbrega, SA Peixoto… - 2018 IEEE 31st …, 2018 - ieeexplore.ieee.org
Lung cancer corresponds to 26% of all deaths due to cancer in 2017, accounting more than
1.5 million deaths globally. Considering this challenging situation, several computeraided …
1.5 million deaths globally. Considering this challenging situation, several computeraided …
Lungs nodule detection framework from computed tomography images using support vector machine
The emergence of cloud infrastructure has the potential to provide significant benefits in a
variety of areas in the medical imaging field. The driving force behind the extensive use of …
variety of areas in the medical imaging field. The driving force behind the extensive use of …
Efficient lung nodule classification using transferable texture convolutional neural network
Lung nodules are vital indicators for the presence of lung cancer. An early detection
enhances the survival rate of the patient by starting treatment at the right time. The detection …
enhances the survival rate of the patient by starting treatment at the right time. The detection …
Deep transfer convolutional neural network and extreme learning machine for lung nodule diagnosis on CT images
Diagnosis of benign–malignant nodules in the lung on Computed Tomography (CT) images
is critical for determining tumor level and reducing patient mortality. Deep learning-based …
is critical for determining tumor level and reducing patient mortality. Deep learning-based …
Automated lung nodule detection and classification based on multiple classifiers voting
T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks
RVM Da Nobrega, PP Reboucas Filho… - Neural Computing and …, 2020 - Springer
Lung cancer accounts for more than 1.5 million deaths worldwide, and it corresponded to
26% of all deaths due to cancer in 2017. However, lung computer-aided diagnosis systems …
26% of all deaths due to cancer in 2017. However, lung computer-aided diagnosis systems …
Multi-model ensemble learning architecture based on 3D CNN for lung nodule malignancy suspiciousness classification
H Liu, H Cao, E Song, G Ma, X Xu, R Jin, C Liu… - Journal of Digital …, 2020 - Springer
Classification of benign and malignant in lung nodules using chest CT images is a key step
in the diagnosis of early-stage lung cancer, as well as an effective way to improve the …
in the diagnosis of early-stage lung cancer, as well as an effective way to improve the …