ODNN-LDA: Automated Lung Cancer Detection on CT Images Using an Optimal Deep Linear Discriminate Learning Model

AO Khadidos - Emerging Technologies in Data Mining and Information …, 2022 - Springer
Lung cancer is classified as one of the most common forms of cancer that cannot be ignored
and can lead to death if treated late. According to the American Cancer Society, CT scans …

Segmentation and prediction of lung cancer CT scans through nodules using ensemble deep learning approach

M Kumar, V Kumar, A Sharma - 2021 IEEE Mysore Sub Section …, 2021 - ieeexplore.ieee.org
Lung cancer is considered as one of the most dangerous disease which world is facing
today. Detecting the malignant nodules in the lungs is a difficult task and to perform the …

[PDF][PDF] Study on segmentation and prediction of lung cancer based on machine learning approaches

A Saha, R Yadav - … Journal of Experimental Research and Review, 2023 - academia.edu
Lung cancer is a dangerous disease in human health. At the early stage, lung cancer
detection provides a way to save human life. As a result, improvements in Deep Learning …

Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model

U Demiroğlu, B Şenol, M Yildirim, Y Eroğlu - Multimedia Tools and …, 2023 - Springer
Lung cancer arises from the abnormal and uncontrolled reproduction of parenchymal cells.
Among all cancer cases, lung cancer is one of the prevailing types. Prevalence and death …

Lung Tumor Classification Using CNN-and GLCM-Based Features

A Naik, DR Edla - ICT Systems and Sustainability: Proceedings of …, 2021 - Springer
Identification of malignant tumors in lung CT in early stage is very important for early
intervention and favorable outcomes. So far, researchers have used several machine …

An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images

M Sivakumar, S Chinnasamy, MS Thanabal - PeerJ Computer Science, 2024 - peerj.com
Methods Non-small cell lung cancer should be recognized for detecting lung cancer. In the
pre-processing stage, the noise in the CT images is eliminated by using an average filter …

Deep Learning Model for Lung Cancer Detection On CT Scan Image

G Kaur, JK Sandhu - 2023 International Conference on Circuit …, 2023 - ieeexplore.ieee.org
The lung cancer disease is the disease of lung which can affect human health. The
interstitial lung disease is diagnosed in different phases such to pre-process the image …

A systematic review of lung cancer prediction using machine learning algorithm

RR Rajalaxmi, S Kavithra, E Gothai… - 2022 International …, 2022 - ieeexplore.ieee.org
Detecting lung cancer is difficult and dangerous. Males and females are both at risk of dying
from it, so it is especially important to examine nodules immediately and correctly. As a …

Intelligent classification of lung malignancies using deep learning techniques

P Yadlapalli, D Bhavana, S Gunnam - International Journal of …, 2022 - emerald.com
Purpose Computed tomography (CT) scan can provide valuable information in the diagnosis
of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel …

An Efficient Method for Detection and Classification of Pulmonary Neoplasm based on Deep Learning Technique

C Venkatesh, LS Yamini - Helix-The Scientific Explorer| Peer …, 2021 - helixscientific.pub
Cancers of the lung and pancreas are two of the most frequent cancers. While lung cancer is
the leading cause of cancer-related deaths worldwide, pancreatic cancer has the worst …