[HTML][HTML] Stacked neural nets for increased accuracy on classification on lung cancer

SRR BR, S Sen, R Bhatt, ML Dhanetwal, M Sharma… - Measurement …, 2024 - Elsevier
Lung cancer is regarded as one of the most lethal diseases endangering human survival. It
is difficult to detect lung cancer in its early stages, because of the ambiguity in the lung …

Detection of lung cancer using convolution neural network

C Shankara, SA Hariprasad, DU Latha - SN Computer Science, 2023 - Springer
In the modern world, one of the most prevalent and hazardous cancers is the lung cancer
disease that causes the most fatalities each year. Accurate lung cancer identification could …

DCNN-SVM: A new approach for lung cancer detection

B Sahu, A Panigrahi, SK Rout - Recent Advances in Computer …, 2020 - taylorfrancis.com
In the present scenario lung cancer is considered as a common disease which improves the
death ratio. So detection of cause of the cancer in early stage may improve the survival …

Segmentation and Feature Extraction in Lung CT Images with Deep Learning Model Architecture

R Indumathi, R Vasuki - SN Computer Science, 2023 - Springer
Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …

Lung cancer classification using convolutional neural network and DenseNet

NP Damayanti, MND Ananda… - Journal of Soft …, 2023 - shmpublisher.com
Lung cancer is a condition that has a major impact on public health. Convolutional Neural
Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer …

Lung Cancer Detection Using Convolutional Neural Network

D Jain, P Singh, AK Pandey, M Singh… - … on Issues and …, 2022 - ieeexplore.ieee.org
Automatic detection of defects and abnormalities in CT scan images has gain lot of
importance in the recent times as because of the deteriorating quality of air almost everyone …

Automatic lung carcinoma identification and classification in CT images using CNN deep learning model

R Tandon, S Agrawal, R Raghuwanshi… - … in Healthcare: A …, 2022 - Springer
Lung cancer is the most prevalent malignancy that cannot be avoided and that causes late
health care death. At now, CT scans can be used to assist physicians to diagnose early …

Diagnosis of lung cancer using multiscale convolutional neural network

H Yektaei, M Manthouri - Biomedical Engineering: Applications …, 2020 - World Scientific
Lung cancer is one of the dangerous diseases that cause huge cancer death worldwide.
Early detection of lung cancer is the only possible way to improve a patient's chance for …

[HTML][HTML] A novel hybrid deep learning method for early detection of lung cancer using neural networks

S Wankhade, S Vigneshwari - Healthcare Analytics, 2023 - Elsevier
Lung cancer is a fatal disease with a high mortality rate in diseased patients. Early diagnosis
of this disease and accurately identifying the lung cancer stage can save the patients' lives …

Lung Cancer Classification and Through Deep Learning Model and Localization of Tumor

S Swaroop, S Sharma - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
Lung cancer a major threat of human life. Computer Tomography (CT) scan images are
examined by the physician for identifying the cancer for patients. This examination when …