Lung cancer CT image classification using hybrid-SVM transfer learning approach

S Nigudgi, C Bhyri - Soft Computing, 2023 - Springer
Lung cancer is a leading deadly form of the illness that is the cause of one million deaths
around the world every year. Identification of lung nodules on chest computed tomography …

Lung Cancer Classification Using Deep Learning-Based Techniques

M Wahengbam, M Sriram - … on Advancements in Smart Computing and …, 2023 - Springer
Cancer is currently the most dangerous sickness the world has to cope with. Finding
malignant nodules inside the lungs is difficult, despite the fact that numerous methods have …

[HTML][HTML] Stacked neural nets for increased accuracy on classification on lung cancer

SRR BR, S Sen, R Bhatt, ML Dhanetwal, M Sharma… - Measurement …, 2024 - Elsevier
Lung cancer is regarded as one of the most lethal diseases endangering human survival. It
is difficult to detect lung cancer in its early stages, because of the ambiguity in the lung …

A hybrid model for lung cancer prediction using patch processing and deeplearning on CT images

C Venkatesh, J Chinna Babu, A Kiran… - Multimedia Tools and …, 2024 - Springer
Cancer is a common disease with an increasing mortality rate in recent years. Lung cancer
is the most common cancer in men and women alike. It is caused by uncontrolled cell …

Lung Cancer Classification and Through Deep Learning Model and Localization of Tumor

S Swaroop, S Sharma - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
Lung cancer a major threat of human life. Computer Tomography (CT) scan images are
examined by the physician for identifying the cancer for patients. This examination when …

An efficient combination of convolutional neural network and LightGBM algorithm for lung cancer histopathology classification

EAR Hamed, MAM Salem, NL Badr, MF Tolba - Diagnostics, 2023 - mdpi.com
The most dangerous disease in recent decades is lung cancer. The most accurate method of
cancer diagnosis, according to research, is through the use of histopathological images that …

Lung Cancer Detection Using Image Processing Technique Through Deep Learning Algorithm.

P Sivasankaran, KR Dhanaraj - Revue d'Intelligence …, 2024 - search.ebscohost.com
Deep learning was a valuable and effective modeling object classification technique.
Furthermore, since huge datasets for clinical images were not always accessible, there are …

Ensemble CNN Model for Lung Cancer Classification

S Poorani, S Parvathavarthini… - 2023 5th …, 2023 - ieeexplore.ieee.org
Lung cancer is one of the most fatal diseases across the globe. Due to the asymptomatic
behavior of lung cancer, it cannot be detected earlier but if it is identified at the initial stage …

[HTML][HTML] An intelligent algorithm for lung cancer diagnosis using extracted features from Computerized Tomography images

N Maleki, STA Niaki - Healthcare Analytics, 2023 - Elsevier
Abstract According to the World Health Organization, lung cancer is a leading cause of
death worldwide. This research aims to process the Computerized Tomography (CT) images …

Lung cancer prediction and stage classification in CT scans using convolution neural networks-a deep learning model

V Deepa, PM Fathimal - … on Data Science, Agents & Artificial …, 2022 - ieeexplore.ieee.org
Medical image processing has recently become popular in the last two decades. CT scans
provide detailed images of interior organs, bones, soft tissue, and blood arteries. Different …