GoogLeNet-AL: A Fully Automated Adaptive Model for Lung Cancer Detection
L Ma, H Wu, P Samundeeswari - Pattern Recognition, 2024 - Elsevier
As lung cancer has emerged as the top contributor to cancer-related fatalities, efficient and
precise diagnostic methods are essential for efficient diagnosis. This research introduces a …
precise diagnostic methods are essential for efficient diagnosis. This research introduces a …
Real-time Tumor Detection Using Electromagnetic Signals With Memristive Echo State Networks
Early detection and diagnosis of brain tumors are of great significance, as they can be life
saving. Current state-of-the-art methods, including X-ray and magnetic resonance imaging …
saving. Current state-of-the-art methods, including X-ray and magnetic resonance imaging …
Squeeze-Inception V3 with Slime Mould algorithm-based CNN features for lung cancer detection
P Nagaraj - Biomedical Signal Processing and Control, 2025 - Elsevier
Worldwide, lung cancer is considered a highly fatal disease, affecting both women and men;
it needs additional consideration while assessing several diseases. Moreover, early lung …
it needs additional consideration while assessing several diseases. Moreover, early lung …
TPOT with SVM hybrid machine learning model for lung cancer classification using CT image
NN Murthy, K Thippeswamy - Biomedical Signal Processing and Control, 2025 - Elsevier
Lung cancer arises when lung cells proliferate uncontrollably, creating tumors that may
disrupt the normal functioning of the lungs. Accurate classification of lung cancer leads to …
disrupt the normal functioning of the lungs. Accurate classification of lung cancer leads to …
An enhanced Garter Snake Optimization-assisted deep learning model for lung cancer segmentation and classification using CT images
M Shekhar, S Khetavath - Journal of Medical Engineering & …, 2024 - Taylor & Francis
An early detection of lung tumors is critical for better treatment results, and CT scans can
reveal lumps in the lungs which are too small to be picked up by conventional X-rays. CT …
reveal lumps in the lungs which are too small to be picked up by conventional X-rays. CT …
Deep Learning Model-based Approach for Lung Cancer Detection
Cancer disease detection is a critical task in healthcare systems when different technologies
or tools are used to detect the exact disease in a patient. Although various cancer diseases …
or tools are used to detect the exact disease in a patient. Although various cancer diseases …
Efficient Lung Cancer Detection Based on Support Scalar Vector Feature Selection with Fuzzy Optimized-Multi Perceptron Neural Network Using Natural Language …
S Kamalakkannan, JA Smiles - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Lung cancer is one of the most frequent types of cancer worldwide, and it has a high fatality
rate. To improve survival chances and ensure a successful treatment, early identification of …
rate. To improve survival chances and ensure a successful treatment, early identification of …