Early Detection of Lung Cancer Using Deep Learning-Based Analysis of CT Scans

D Muthukumaran, R Ahmad, S Suneel… - … on Smart Structures …, 2023 - ieeexplore.ieee.org
The advanced stage at which most occurrences of lung cancer (LC) are detected results in a
dismal prognosis and few available therapeutic options for the disease. The ability to …

Deep Learning for Automated Detection of Lung Cancer from Medical Imaging Data

HR Devarajan, S Balasubramanian… - … for Innovations in …, 2023 - ieeexplore.ieee.org
Early and accurate detection of lung cancer is essential for improving patient outcomes and
reducing mortality rates. On a range of medical image processing applications in recent …

Lung Cancer Detection from CT Scan Images Using AlexNet

M Sivakumar, K Amala, S Depuru… - 2023 Second …, 2023 - ieeexplore.ieee.org
Lung cancer is one of the hazardous public health conscious problems and early detection
is very much essential for improving patient outcomes. Convolutional Neural Networks …

Deep Learning-Based Lung Cancer Classification: Recent Developments and Future Prospects

A Begum, SA David, D Hemalatha… - … on Advances in …, 2023 - ieeexplore.ieee.org
This article discusses about potential of deep learning in lung cancer diagnosis using
medical imaging, specifically focusing on the performance of various deep learning models …

[HTML][HTML] Deep learning for lungs cancer detection: a review

R Javed, T Abbas, AH Khan, A Daud, A Bukhari… - Artificial Intelligence …, 2024 - Springer
Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …

Deep learning approach for early stage lung cancer detection

S Abunajm, N Elsayed, Z ElSayed, M Ozer - arXiv preprint arXiv …, 2023 - arxiv.org
Lung cancer is the leading cause of death among different types of cancers. Every year, the
lives lost due to lung cancer exceed those lost to pancreatic, breast, and prostate cancer …

Medical images segmentation for lung cancer diagnosis based on deep learning architectures

Y Said, AA Alsheikhy, T Shawly, H Lahza - Diagnostics, 2023 - mdpi.com
Lung cancer presents one of the leading causes of mortalities for people around the world.
Lung image analysis and segmentation are one of the primary steps used for early …

Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach

KR Prasanna, RV Kumar, G Mohanbabu… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Effective lung cancer diagnosis and treatment hinge on the early detection of lung nodules.
Various techniques, such as thresholding, pattern recognition, computer-aided diagnostics …

[PDF][PDF] Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures. Diagnostics 2023, 13, 546

Y Said, AA Alsheikhy, T Shawly, H Lahza - 2023 - academia.edu
Lung cancer presents one of the leading causes of mortalities for people around the world.
Lung image analysis and segmentation are one of the primary steps used for early …

VCNet: Hybrid deep learning model for detection and classification of lung carcinoma using chest radiographs

R Tandon, S Agrawal, A Chang, SS Band - Frontiers in Public Health, 2022 - frontiersin.org
Detection of malignant lung nodules from Computed Tomography (CT) images is a
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …