Lung and colon cancer classification using medical imaging: A feature engineering approach

A Hage Chehade, N Abdallah, JM Marion… - … Engineering Sciences in …, 2022 - Springer
Lung and colon cancers lead to a significant portion of deaths. Their simultaneous
occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of …

[PDF][PDF] An Extensive Review on Lung Cancer Detection Using Machine Learning Techniques: A Systematic Study.

ESN Joshua, M Chakkravarthy… - Revue d'Intelligence …, 2020 - researchgate.net
Accepted: 7 May 2020 The Main Objective of this research paper is to investigate the
accuracy levels of various machine learning algorithms. To find out the accuracy levels of …

Categorization & recognition of lung tumor using machine learning representations

UJ Reddy, BV Ramana Reddy… - Current Medical …, 2019 - ingentaconnect.com
Background: Lung Cancer is the disease spreading around the world nowadays. Early
recognition of lung disease is a difficult task as the cells which cause tumor will grow quickly …

Artificial intelligence for detection of lung cancer using transfer learning and morphological features

N Muhtasim, U Hany, T Islam, N Nawreen… - The Journal of …, 2024 - Springer
Lung cancer is an uncontrolled growth of tissue causing a lump in the human lung. If lung
cancer can be detected early, it can increase the survival rate. Therefore, a multi …

A new framework for multi-scale CNN-based malignancy classification of pulmonary lung nodules

Sakshiwala, MP Singh - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Lung cancer has the highest mortality rate among all types of cancers. Early detection of
lung cancer may improve survival rates. The two categories of pulmonary lung nodules have …

An efficient fully automated lung cancer classification model using googlenet classifier

P Samundeeswari, R Gunasundari - Journal of Circuits, Systems …, 2023 - World Scientific
Lung cancer (LC) causes the most superior mortality rate globally. Medical experts diagnose
the disease and stage with prolonged procedures. Early diagnosis is only a promising way …

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 detection and classification based on image processing and statistical learning

MR Hasan, M Al Kabir - Journal of Emerging Trends in Engineering …, 2020 - journals.co.za
Lung cancer is one of the death threatening diseases amonghuman beings. Early and
accurate detection of lung cancercan increase the survival rate of a lung cancer patient …

Cat swarm optimization-based computer-aided diagnosis model for lung cancer classification in computed tomography images

T Vaiyapuri, Liyakathunisa, H Alaskar, R Parvathi… - Applied Sciences, 2022 - mdpi.com
Lung cancer is the most significant cancer that heavily contributes to cancer-related mortality
rate, due to its violent nature and late diagnosis at advanced stages. Early identification of …

Segmentation and Feature Extraction in Lung CT Images with Deep Learning Model Architecture

R Indumathi, R Vasuki - SN Computer Science, 2023 - Springer
Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …