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 …

Detection and Staging of Lung Cancer from CT scan Images by Deep Learning

D Gupta, S Dawn - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Lung cancer is jeopardized disease which easily demolish human body with great impact.
Lung Cancer is most prominent disease nowadays. To diagnosis this minacious disease CT …

Detection of lung cancer on computed tomography using artificial intelligence applications developed by deep learning methods and the contribution of deep learning …

N Aydın, Ö Çelik, AF Aslan, A Odabaş… - Current Medical …, 2021 - ingentaconnect.com
Background: Every year, lung cancer contributes to a high percentage deaths in the world.
Early detection of lung cancer is important for its effective treatment, and non-invasive rapid …

Lung images segmentation and classification based on deep learning: a new automated CNN approach

WM Salama, MH Aly… - Journal of Physics …, 2021 - iopscience.iop.org
Lung cancer became a significant health problem worldwide over the past decades. This
paper introduces a new generalized framework for lung cancer detection where many …

[PDF][PDF] Non-Small Cell Lung Cancer Classification from Histopathological Images using Feature Fusion and Deep CNN

J Akhtar - Int. J. Eng. Adv. Technol., 2020 - researchgate.net
Lung cancer is the overgrowth of cells in digestive organs. Identifying different types of lung
cancer (squamous cell cancer, large cell carcinoma and adenocarcinoma) from lung …

[PDF][PDF] Optimized deep learning model for early detection and classification of lung cancer on CT images.

TIA Mohamed - 2022 - researchgate.net
Recently, researchers have shown an increased interest in the early diagnosis and
detection of lung cancer using the characteristics of computed tomography (CT) images. The …

A Deep-Learning Model Based on Transfer-Learning Technique for Detecting and Classifying Anomalies in Lungs Images

B Mostafa, A Keshk, M Sakr - IJCI. International Journal of …, 2023 - ijci.journals.ekb.eg
Over the past decade, there has been a marked increase in interest in the automated
identification of malignant tumors, largely due to the demand for an early and precise …

Certain investigations on Computed Tomography based imaging for identification of lung cancer

N Vijayan, J Kuruvilla - 2023 Advanced Computing and …, 2023 - ieeexplore.ieee.org
In terms of mortality, lung cancer ranks second worldwide among diseases with the greatest
danger. Although early diagnosis might improve recovery, it is a very hectic task in its early …

[PDF][PDF] Hybrid Optimized Learning for Lung Cancer Classification.

R Vidhya, TT Mirnalinee - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Computer tomography (CT) scan images can provide more helpful diagnosis information
regarding the lung cancers. Many machine learning and deep learning algorithms are …

Lung cancer detection from histopathological images using deep learning

RD Mohalder, KA Hossain, JP Sarkar, L Paul… - … Conference on Machine …, 2022 - Springer
Computed tomography (CT) is critical for identifying tumors and detecting lung cancer. As
was the case in the recent past, we wish to incorporate a well-educated, profound learning …