Detecting lung cancer from histopathological images using convolution neural network

DZ Karim, TA Bushra - TENCON 2021-2021 IEEE Region 10 …, 2021 - ieeexplore.ieee.org
Lung cancer is one of the leading causes of mortality in both men and women throughout
the world. That is why early identification and treatment of lung cancer patients bear a huge …

Detection of lung cancer from pathological images using CNN model

M Chen, S Huang, Z Huang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Over the past decade, Cancer detection using deep learning models has been a hot topic,
especially in medical image classification. It is worth remarking that CNN models are more …

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 …

Lung cancer detection using image processing and convolutional neural network

A Gupta, VLK Manda, BI Seraphim - Annals of the Romanian …, 2021 - annalsofrscb.ro
Cancer is known to be one of the most dangeroushealth problems in the world and among it,
lung cancer is knowntobethemostseriouscancerwiththesm…. Thelungcancerriskpopulationisalsoveryhigh …

Analysis of lung cancer by using deep neural network

S Shandilya, SR Nayak - Innovation in Electrical Power Engineering …, 2022 - Springer
Lung cancer is one of the world's deadliest cancers and one of the highest mortality rates.
There has been a recent increase in the prevalence of lung cancer. The key aim of this …

Lung tumor classification and detection from CT scan images using deep convolutional neural networks (DCNN)

N Mohanapriya, B Kalaavathi… - 2019 International …, 2019 - ieeexplore.ieee.org
Lung cancer is life-threatening diseases and it now affects all people regardless of gender.
Precise lung tumor classification helps to diagnosis lung cancer early, which decreases the …

A novel approach for detection of lung cancer using digital image processing and convolution neural networks

RY Bhalerao, HP Jani, RK Gaitonde… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Biomedical Image Processing is the latest emerging tool in medical research used for the
early detection of cancers. Artificial Intelligence can be used in the medical field to diagnose …

Lung and colon cancer detection with convolutional neural networks on histopathological images

RR Wahid, C Nisa, RP Amaliyah… - AIP Conference …, 2023 - pubs.aip.org
Lung cancer is deadly cancer same as colon cancer, both of them can grow simultaneously.
Most researchers conduct research to detect one disease on one single body organ. So, in …

The Histopathological Diagnosis of Adenocarcinoma & Squamous Cells Carcinoma of Lungs by Artificial intelligence: A comparative study of convolutional neural …

MA Abbas, SUK Bukhari, A Syed, SSH Shah - MedRxiv, 2020 - medrxiv.org
Introduction Malignant tumors of the lung are the most important cause of morbidity and
mortality due to cancer all over the world. A rising trend in the incidence of lung cancer has …

[PDF][PDF] Lung cancer detection using convolutional neural network on histopathological images

BK Hatuwal, HC Thapa - Int. J. Comput. Trends Technol, 2020 - researchgate.net
Lung Cancer is one of the leading life taking cancer worldwide. Early detection and
treatment are crucial for patient recovery. Medical professionals use histopathological …