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 …

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 …

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 …

Efficient segmentation and classification of the lung carcinoma via deep learning

MM Yamuna Devi, J Jeyabharathi… - Multimedia Tools and …, 2024 - Springer
Lung malignancy represents a group of diseases that affect people worldwide. According to
the reports, 1.69 million people died in 2015. Presymptomatic work raises patient ability and …

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 efficient combination of convolutional neural network and LightGBM algorithm for lung cancer histopathology classification

EAR Hamed, MAM Salem, NL Badr, MF Tolba - Diagnostics, 2023 - mdpi.com
The most dangerous disease in recent decades is lung cancer. The most accurate method of
cancer diagnosis, according to research, is through the use of histopathological images that …

Intelligent deep learning algorithm for lung cancer detection and classification

NS Reddy, V Khanaa - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Lung cancer is one of the leading causes of cancer mortality. The overlapping of cancer
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …

An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images

N Kumar, M Sharma, VP Singh, C Madan… - … Signal Processing and …, 2022 - Elsevier
According to a 2020 WHO report, cancer is one of the main causes of deaths worldwide.
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …

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 …