Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer

MA Mustafa, A Adel, MM Abdulhasan… - … Conference on Applied …, 2023 - Springer
Lung cancer mortality is increasing in this country due to a variety of factors, including the
country's increasing industrialization, the buildup of hazardous substances in the …

Automated detection and classification for early stage lung cancer on CT images using deep learning

J Sang, MS Alam, H Xiang - Pattern recognition and tracking …, 2019 - spiedigitallibrary.org
Since accurate early detection of malignant lung nodule can greatly enhance the survival of
the patient, detection of early stage lung cancer with chest computed tomography (CT) scans …

Fine-tuned framework with transfer learning for pulmonary nodule detection

A Garg, S Gupta, V Bishnoi… - 2022 IEEE 6th Conference …, 2022 - ieeexplore.ieee.org
Cancer is one of the leading cause of death globally with lung cancer having the highest
elevated mortality rate. Chances of survival in lung cancer patients are comparatively higher …

Lung cancer detection and classification based on alexnet CNN

A Agarwal, K Patni, D Rajeswari - 2021 6th international …, 2021 - ieeexplore.ieee.org
Lung cancer is among the most fatal disease in developed countries, and early diagnosis of
the disease is difficult. Lung cancer diagnosis and treatment has been one of the most …

Lung cancer detection from histopathological images using deep learning

RD Mohalder, KA Hossain, JP Sarkar, L Paul… - … Conference on Machine …, 2022 - Springer
Computed tomography (CT) is critical for identifying tumors and detecting lung cancer. As
was the case in the recent past, we wish to incorporate a well-educated, profound learning …

[PDF][PDF] Lung cancer prediction using deep learning framework

RR Subramanian, RN Mourya, VPT Reddy… - … Journal of Control …, 2020 - researchgate.net
Lung carcinoma also known as lung cancer is one of the dangerous diseases caused all
over the world. It is caused due to the reluctant increase of cells in the lung tissues. It is …

An effective method for lung cancer diagnosis from ct scan using deep learning-based support vector network

I Shafi, S Din, A Khan, IDLT Díez, RJP Casanova… - Cancers, 2022 - mdpi.com
Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …

DAE-DBN: An Effective Lung Cancer Detection Model Based on Hybrid Deep Learning Approaches

SA Schnawa, M Rafie, MS Taha - International Conference of Reliable …, 2023 - Springer
To effectively treat lung cancer and improve patient survival, automatic lung nodule
identification is crucial. Computer-aided diagnosis (CAD) is one of the most efficient tools for …

Enhancing Early Lung Cancer Detection using Deep Learning Techniques

H Badaya, S Mishra, SK Satapathy… - 2024 International …, 2024 - ieeexplore.ieee.org
Lung cancer is one of the most deadly and persistent diseases in the world today, making
early identification of this disease crucial. This research focuses on the integration of cutting …

[PDF][PDF] Target Projection Feature Matching Based Deep ANN with LSTM for Lung Cancer Prediction.

C Thaventhiran, KR Sekar - Intelligent Automation & Soft …, 2022 - pdfs.semanticscholar.org
Prediction of lung cancer at early stages is essential for diagnosing and prescribing the
correct treatment. With the continuous development of medical data in healthcare services …