Classification of histopathology images of lung cancer using convolutional neural network (CNN)

N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

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 …

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 …

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 …

Convolution neural networks for diagnosing colon and lung cancer histopathological images

S Mangal, A Chaurasia, A Khajanchi - arXiv preprint arXiv:2009.03878, 2020 - arxiv.org
Lung and Colon cancer are one of the leading causes of mortality and morbidity in adults.
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …

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 …

Deep neural network based classification of tumourous and non-tumorous medical images

V Makde, J Bhavsar, S Jain, P Sharma - … Systems (ICTIS 2017)-Volume 2 2, 2018 - Springer
Tumor identification and classification from various medical images is a very challenging
task. Various image processing and pattern identification techniques can be used for tumor …

A Comparative study of Lung Cancer Detection and Classification approaches in CT images

P Katiyar, K Singh - 2020 7th International Conference on …, 2020 - ieeexplore.ieee.org
Lung disease is a genuine medical problem. In India there are roughly 70,275 individual
cases in every year are determined to have lung malignancy. However, early identification …

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 …