Mesh-free technique for enhancement of the lung CT image

O Singh, KL Kashyap, KK Singh - Biomedical Signal Processing and …, 2023 - Elsevier
Lung cancer is abnormal cell disease and a leading cause of mortality for both men and
women according to Global cancer statistics 2020 (GLOBACON). Pulmonary nodules …

Lung CT image enhancement based on total variational frame and wavelet transform

H Wang, P Yang, C Xu, L Min… - International Journal of …, 2022 - Wiley Online Library
Benefitting from the development of computer vision, computed tomography (CT) images
have been used for assisting doctor's clinical diagnosis and improving the diagnostic …

[PDF][PDF] Tumor detection on CT lung images using image enhancement

K Dimililer, B Ugur, YK Ever - The Online Journal of Science and …, 2017 - tojsat.net
Last three decades, early cancer detection and researches on early detection solutions play
vital role for human health. Computed tomography images (CT) are widely used in …

Image Enhancement of Metastasis And Acrometastasis Images Using Clahe With Weiner Filter

A Vidhyalakshmi, C Priya - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Bony metastases arise in 30% of all cancers, but only 1% to 3% of these developments in
the side. The lung is the most common micrometastasis site, accompanied by breast and …

[PDF][PDF] Enhancement and segmentation of lung ct images for efficient identification of cancerous cells

MA Shah, NY Khanday, M Purohit… - International Journal of …, 2016 - researchgate.net
In recent years the image processing mechanisms are used widely in several medical areas
for improving earlier detection and treatment stages, in which the time factor is very …

Lungs nodule cancer detection using statistical techniques

W Abbas, KB Khan, M Aqeel, MA Azam… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The detection of lungs nodule cancer by Computer Aided Diagnosis (CAD) system, provide
a great support to the medical experts and can lower the death rate. In this research, CAD …

Lung computed tomography image enhancement using U‐Net segmentation

AH Sheer, HH Kareem… - International Journal of …, 2024 - Wiley Online Library
The goal of image enhancement methods is to improve image's quality. The efficacy of U‐
net is evident through its extensive utilization across various significant image modalities …

Lung cancer detection and classification using CT scan image processing

N Nawreen, U Hany, T Islam - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Lung cancer is the stereotypical cancer after breast cancer in this era. The survival rate in
this cancer is less than other cancers as well. Lung cancer screening can help find cancer at …

Ensemble learning framework with GLCM texture extraction for early detection of lung cancer on CT images

SA Althubiti, S Paul, R Mohanty… - … Methods in Medicine, 2022 - Wiley Online Library
Lung cancer has emerged as a major cause of death among all demographics worldwide,
largely caused by a proliferation of smoking habits. However, early detection and diagnosis …

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 …