Automatic detection of lung cancer using the potential of artificial intelligence (ai)

M Pradhan, RK Sahu - Machine Learning and AI Techniques in …, 2023 - igi-global.com
The histopathology images are effective in identifying the location and level of cancer. In this
chapter, a novel model is implemented for an automatic classification of histopathological …

[PDF][PDF] Histopathological Lung Cancer Detection Using Enhanced Grasshopper Optimization Algorithm with Random Forest.

M Pradhan, A Bhuiyan, S Mishra, T Thieu… - International Journal of …, 2022 - researchgate.net
In the recent decades, the lung cancer is the most dangerous disease that causes 1.6 million
deaths per year. Therefore, the early recognition of lung cancer is an effective way to reduce …

A feature engineering-based machine learning technique to detect and classify lung and colon cancer from histopathological images

I Chhillar, A Singh - Medical & Biological Engineering & Computing, 2024 - Springer
Globally, lung and colon cancers are among the most prevalent and lethal tumors. Early
cancer identification is essential to increase the likelihood of survival. Histopathological …

[HTML][HTML] Exploration and enhancement of classifiers in the detection of lung cancer from histopathological images

K Shanmugam, H Rajaguru - Diagnostics, 2023 - mdpi.com
Lung cancer is a prevalent malignancy that impacts individuals of all genders and is often
diagnosed late due to delayed symptoms. To catch it early, researchers are developing …

A Deep Learning-Based Classification Framework for Annotated Histopathology Lung Cancer Images

EAR Hamed, MAM Salem, NL Badr… - … Conference on Advanced …, 2023 - Springer
Cancer is the second leading cause of death globally, with one in six people dying from it. It
occurs when abnormal cells divide uncontrollably and spread to other organs in the body …

Detection of Lung Cancer Using Optimal Hybrid Segmentation and Classification

V Anitha, NR Behera, PV Krishna… - … Journal of Computer …, 2023 - cspub-ijcisim.org
Recently, the world health organization (WHO) showed that the lung tumor is the major
leading cause of mortality. Segmentation of lung tumor is one of the exciting field for the …

Automated lung nodule detection and classification based on multiple classifiers voting

T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …

[HTML][HTML] 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 …

[HTML][HTML] Computer aided model for lung cancer classification using cat optimized convolutional neural networks

A Gopinath, P Gowthaman, M Venkatachalam… - Measurement …, 2023 - Elsevier
Lung cancer is a dangerous illness in the modern world. Lung cancer diagnosis requires a
more thorough investigation than other disease processes since it affects both men and …

Research on the auxiliary classification and diagnosis of lung cancer subtypes based on histopathological images

M Li, X Ma, C Chen, Y Yuan, S Zhang, Z Yan… - Ieee …, 2021 - ieeexplore.ieee.org
Lung cancer (LC) is one of the most serious cancers threatening human health.
Histopathological examination is the gold standard for qualitative and clinical staging of lung …