Lung nodule classification using deep features in CT images
Early detection of lung cancer can help in a sharp decrease in the lung cancer mortality rate,
which accounts for more than 17% percent of the total cancer related deaths. A large …
which accounts for more than 17% percent of the total cancer related deaths. A large …
[HTML][HTML] Computer-assisted decision support system in pulmonary cancer detection and stage classification on CT images
Pulmonary cancer is considered as one of the major causes of death worldwide. For the
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
Lung cancer classification using neural networks for CT images
J Kuruvilla, K Gunavathi - Computer methods and programs in biomedicine, 2014 - Elsevier
Early detection of cancer is the most promising way to enhance a patient's chance for
survival. This paper presents a computer aided classification method in computed …
survival. This paper presents a computer aided classification method in computed …
Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Purpose For radiologists, identifying and assessing thelung nodules of cancerous form from
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
[HTML][HTML] Detection and classification of lung cancer using CNN and Google net
R Pandian, V Vedanarayanan, DNSR Kumar… - Measurement …, 2022 - Elsevier
Lung cancer is a serious disease occurring in human being. Medical treatment process
mainly depends on cancer types and its location. It is possible to save many precious human …
mainly depends on cancer types and its location. It is possible to save many precious human …
Deep3DSCan: Deep residual network and morphological descriptor based framework forlung cancer classification and 3D segmentation
With the increasing incidence rate of lung cancer patients, early diagnosis could help in
reducing the mortality rate. However, accurate recognition of cancerous lesions is …
reducing the mortality rate. However, accurate recognition of cancerous lesions is …
Discovery radiomics for pathologically-proven computed tomography lung cancer prediction
Lung cancer is the leading cause for cancer related deaths. As such, there is an urgent need
for a streamlined process that can allow radiologists to provide diagnosis with greater …
for a streamlined process that can allow radiologists to provide diagnosis with greater …
Random forest with self-paced bootstrap learning in lung cancer prognosis
Training gene expression data with supervised learning approaches can provide an alarm
sign for early treatment of lung cancer to decrease death rates. However, the samples of …
sign for early treatment of lung cancer to decrease death rates. However, the samples of …
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images
Background and objectives Highly accurate classification of biomedical images is an
essential task in the clinical diagnosis of numerous medical diseases identified from those …
essential task in the clinical diagnosis of numerous medical diseases identified from those …
ExtRanFS: An automated lung cancer malignancy detection system using extremely randomized feature selector
N VR, V Chandra SS - Diagnostics, 2023 - mdpi.com
Lung cancer is an abnormality where the body's cells multiply uncontrollably. The disease
can be deadly if not detected in the initial stage. To address this issue, an automated lung …
can be deadly if not detected in the initial stage. To address this issue, an automated lung …