Diagnose Colon and Lung Cancer Histopathological Images Using Pre-Trained Machine Learning Model

U Maheshwari, BV Kiranmayee… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Lung cancers and colon cancers are two of the leading causes of morbidity and mortality in
human being. One of the essential elements to determining the type of cancer is the …

EfCNN-Net: Smart Detection of Colon and Lung Cancer using Histopathological Images

N Kapoor, A Gupta, K Meenakshi - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In low-and middle-income nations where there is little access to health care and cancer
screening, the death rate from lung cancer is highest. Contrarily, colon cancer is the …

[PDF][PDF] Lung cancer image-feature extraction and classification using GLCM and SVM classifier

R Ankita, CU Kumari, MJ Mehdi… - … Journal of Innovative …, 2019 - researchgate.net
Lung cancer is the second most causing cancer when compared to all the other cancers.
According to WHO (World Health Organization) lung cancer contributes about 14 per cent …

Design of a hybrid deep learning system for discriminating between low-and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 …

A Theodosi, S Ouzounis, S Kostopoulos… - Machine Vision and …, 2021 - Springer
To design a hybrid deep learning system (hDL-system) for discriminating low-grade from
high-grade colorectal cancer (CRC) lesions, using immunohistochemically stained biopsy …

Machine learning methods for histopathological image analysis: A review

J De Matos, STM Ataky, A de Souza Britto Jr… - Electronics, 2021 - mdpi.com
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

Lung cancer detection using textural feature extraction and hybrid classification model

J Kaur, M Gupta - Proceedings of Third International Conference on …, 2022 - Springer
Medical image processing (MIP) offers powerful and promising key developments in
modernistic three-dimensional (3D) medical imaging based on science and medicine due to …

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

A Muniasamy, SAS Alquhtani, SM Bilfaqih… - Technology and Health …, 2024 - dl.acm.org
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 …

Multi-classification approach for lung nodule detection and classification with proposed texture feature in X-ray images

MJ Vj - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is a widespread type of cancer around the world. It is, moreover, a lethal type of
tumor. Nevertheless, analysis signifies that earlier recognition of lung cancer considerably …

[PDF][PDF] Deep Learning Models for Histopathological Images Classification

MM Alzorgani, H Ugail - The 2nd Annual Innovative Engineering …, 2018 - easychair.org
This study aimed to compare five deep learning models for classifying Squamous Cell
Carcinoma (SCC) tumor of the head and neck cancer from histopatplogical images. The five …

A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework

M Masud, N Sikder, AA Nahid, AK Bairagi, MA AlZain - Sensors, 2021 - mdpi.com
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …