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 …

Analysis of histopathological images for early diagnosis of oral squamous cell carcinoma by hybrid systems based on CNN fusion features

IA Ahmed, EM Senan… - International Journal of …, 2023 - Wiley Online Library
Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of
cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to …

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 …

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 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 …

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 …

Analyzing histological images using hybrid techniques for early detection of multi-class breast Cancer based on Fusion features of CNN and Handcrafted

M Al-Jabbar, M Alshahrani, EM Senan, IA Ahmed - Diagnostics, 2023 - mdpi.com
Breast cancer is the second most common type of cancer among women, and it can threaten
women's lives if it is not diagnosed early. There are many methods for detecting breast …

A systematic review of modern approaches in healthcare systems for lung cancer detection and classification

SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …

Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas

M Hamdi, EM Senan, ME Jadhav, F Olayah, B Awaji… - Diagnostics, 2023 - mdpi.com
Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …

Lung and colon cancer classification using medical imaging: A feature engineering approach

A Hage Chehade, N Abdallah, JM Marion… - … Engineering Sciences in …, 2022 - Springer
Lung and colon cancers lead to a significant portion of deaths. Their simultaneous
occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of …