Lung and Colon Cancer Classification of Histopathology Images Using Convolutional Neural Network

O Singh, KL Kashyap, KK Singh - SN Computer Science, 2024 - Springer
The greatest significant contributor to cancer-related morbidity and mortality worldwide is
malignant lung tumors. Lung cancer frequency has been seen to be on the rise recently …

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 …

Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images

MMR Said, MSB Islam, MSI Sumon… - … Intelligence and Soft …, 2024 - Wiley Online Library
The increasing prevalence of colon and lung cancer presents a considerable challenge to
healthcare systems worldwide, emphasizing the critical necessity for early and accurate …

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 …

A Deep Learning Approach to Detect and Classification of Lung Cancer

MF Khatun, MR Ajmain… - … for Advancement in …, 2023 - ieeexplore.ieee.org
Cancer is a name of fear to people in the world. Every year millions of people dead of cancer
in the world and lung cancer is one of them. Lung cancer is classified by our research. Non …

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 …

Deep Learning-Based Classification of Lung Cancer Lesions in CT Scans: Comparative Analysis of CNN, VGG-16, and MobileNet Models

PM Hareesh, S Bellamkonda - International Conference on Image …, 2023 - Springer
Lung cancer exhibits one of the lowest survival rates among various cancer types over a five-
year period, necessitating the utmost importance of early detection. Lung cancer can be …

Multi-class Classification of Colon and Lung Cancer using Deep Convolution Neural Network

V Anand, KS Gill, S Gupta - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Lung and colon cancers are among the most common forms of the disease. The key to
effective treatment and long-term patient survival is a prompt and precise diagnosis …

Lung cancer histopathology image classification using transfer learning with convolution neural network model

A Muniasamy, SAS Alquhtani… - … and Health Care, 2023 - journals.sagepub.com
BACKGROUND: Lung cancer (LC) is a harmful malignant tumor and potentially lethal
illness. Therefore, early detection of LC is an urgent need, and dependent on the type of …

Cnn models aided with a metaclassifier for lung Carcinoma classification using histopathological images

N Gautam, S Ghosh, R Sarkar - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is a dangerous disease with differing treatment plans based on types and
location of the cancerous cells. The overall 5-year survival rate for all stages of lung cancer …