Analysis of CT scan lung cancer images using machine learning algorithms

SB Rathod, L Ragha - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Inflammation of the lungs is caused by the growth of cancer cells. Men and women are more
likely to die from cancer as the disease progresses. Cancer cells in the lungs develop …

Computer-assisted image processing system for early assessment of lung nodule malignancy

A Shaffie, A Soliman, A Eledkawy, V van Berkel… - Cancers, 2022 - mdpi.com
Simple Summary Lung cancer is the second most common cancer in men after prostate
cancer and in women after breast cancer, but it is the leading cause of cancer death among …

Intelligent deep learning algorithm for lung cancer detection and classification

NS Reddy, V Khanaa - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Lung cancer is one of the leading causes of cancer mortality. The overlapping of cancer
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …

Automated lung cancer diagnosis using swarm intelligence with deep learning

N Shaikh, P Shah - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
In worldwide, lung cancer is amajor threatening issue for humans that increase the mortality
rate. Here, the existing techniques are suffered from huge false-positiverates. Such kind of …

Lung nodule classification on CT images using deep convolutional neural network based on geometric feature extraction

N Johnsirani Venkatesan, CS Nam… - Journal of Medical …, 2020 - ingentaconnect.com
Lung cancer detection in the earlier stage is essential to improve the survival rate of the
cancer patient. Computed Tomography [CT] is a first and preferred modality of imaging for …

[PDF][PDF] Lung cancer detection using nearest neighbour classifier

RM Mohana, RDH Devi, A Bai - International Journal of Recent …, 2019 - researchgate.net
One of the most precarious diseases is lung cancer. Lung cancer detection is one of the
main challenging dilemma nowadays. Most of the cancer cells are overlies with each other …

Lung cancer detection by classifying CT scan images using grey level co-occurrence matrix (glcm) and k-nearest neighbours

A Kamdar, V Sharma, S Sonawane, N Patil - Innovations in Computational …, 2022 - Springer
Lung cancer is the unbridled growth of abnormal cells in the lungs; as the growth of these
abnormal cells continues, tumours are formed which obstructs with the natural functioning of …

Improved heterogeneous data fusion and multi‐scale feature selection method for lung cancer subtype classification

Y Zhang, J Zhao, Y Qiang, X Yang… - Concurrency and …, 2022 - Wiley Online Library
The diagnosis of the disease requires a variety of data and indicators. In order to make the
computer perform intelligent computation and diagnosis from a doctor's perspective …

Lung cancer detection using CT scan images

S Makaju, PWC Prasad, A Alsadoon, AK Singh… - Procedia Computer …, 2018 - Elsevier
Lung cancer is one of the dangerous and life taking disease in the world. However, early
diagnosis and treatment can save life. Although, CT scan imaging is best imaging technique …

Automatic detection and staging of lung tumors using locational features and double-staged classifications

MP Paing, K Hamamoto, S Tungjitkusolmun… - Applied Sciences, 2019 - mdpi.com
Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of
any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality …