Disease type detection in lung and colon cancer images using the complement approach of inefficient sets

M Toğaçar - Computers in Biology and Medicine, 2021 - Elsevier
Lung and colon cancers are deadly diseases that can develop simultaneously in organs and
adversely affect human life in some special cases. Although the frequency of simultaneous …

Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features

M Al-Jabbar, M Alshahrani, EM Senan, IA Ahmed - Bioengineering, 2023 - mdpi.com
Lung and colon cancer are among humanity's most common and deadly cancers. In 2020,
there were 4.19 million people diagnosed with lung and colon cancer, and more than 2.7 …

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

Automated classification of lung cancer types from cytological images using deep convolutional neural networks

A Teramoto, T Tsukamoto, Y Kiriyama… - BioMed research …, 2017 - Wiley Online Library
Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of
lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell …

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

TIA Mohamed, ON Oyelade, AE Ezugwu - Plos one, 2023 - journals.plos.org
Recently, research has shown an increased spread of non-communicable diseases such as
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …

Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing

S Mehmood, TM Ghazal, MA Khan, M Zubair… - IEEE …, 2022 - ieeexplore.ieee.org
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …

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 …

Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers

MG Lanjewar, KG Panchbhai, P Charanarur - Expert Systems with …, 2023 - Elsevier
Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …

Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and …

S Garg, S Garg - Proceedings of the 2020 3rd Artificial Intelligence and …, 2020 - dl.acm.org
Colon and Lung cancer is one of the most perilous and dangerous ailments that individuals
are enduring worldwide and has become a general medical problem. To lessen the risk of …

Lung cancer disease diagnosis using machine learning approach

S Mukherjee, SU Bohra - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
The analysis and study of lung diseases has been the most intriguing investigation zone of
medical experts from early days to the present day. To address this concern, a diagnosis …