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 …

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 …

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 …

An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method

O Singh, KK Singh - International Journal of Information Technology, 2023 - Springer
Cancer is a deadly condition brought on by a range of metabolic anomalies and genetic
disorders. Lung and colon cancer in particular is among the leading causes of death and …

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 …

An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images

N Kumar, M Sharma, VP Singh, C Madan… - … Signal Processing and …, 2022 - Elsevier
According to a 2020 WHO report, cancer is one of the main causes of deaths worldwide.
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …

Al-Biruni earth radius optimization with transfer learning based histopathological image analysis for lung and colon cancer detection

R AlGhamdi, TO Asar, FY Assiri, RA Mansouri… - Cancers, 2023 - mdpi.com
Simple Summary Histopathological image analysis can be used for the detection of lung and
colon cancer by the investigation of microscopic images of tissue samples. Since manual …

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 …

Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans

GAP Singh, PK Gupta - Neural Computing and Applications, 2019 - Springer
Lung cancer is one of the most common causes of death among all cancer-related diseases
(Cancer Research UK in Cancer mortality for common cancers. http://www …

Microscopic handcrafted features selection from computed tomography scans for early stage lungs cancer diagnosis using hybrid classifiers

J Alyami, AR Khan, SA Bahaj… - Microscopy Research and …, 2022 - Wiley Online Library
Lung's cancer is the leading cause of cancer‐related deaths worldwide. Recently cancer
mortality rate and incidence increased exponentially. Many patients with lung cancer are …