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 is one of the hazardous public health conscious problems and early detection is very much essential for improving patient outcomes. Convolutional Neural Networks …
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 …
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 …
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 …
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 …
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 …
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 …
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 …