An extensive review on lung cancer diagnosis using machine learning techniques on radiological data: state-of-the-art and perspectives
Cancer of the lung is a killer illness that often results from a combination of genetic
disposition and many clinical changes. The lung region of the body contains cancerous cells …
disposition and many clinical changes. The lung region of the body contains cancerous cells …
Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
A review of deep learning techniques for lung cancer screening and diagnosis based on CT images
One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …
identification of lung cancer can increase a patient's probability of survival. A frequently used …
Systematic review for lung cancer detection and lung nodule classification: Taxonomy, challenges, and recommendation future works
Nowadays, lung cancer is one of the most dangerous diseases that require early diagnosis.
Artificial intelligence has played an essential role in the medical field in general and in …
Artificial intelligence has played an essential role in the medical field in general and in …
Deep learning applications for lung cancer diagnosis: a systematic review
Lung cancer has been one of the most prevalent disease in recent years. According to the
research of this field, more than 200,000 cases are identified each year in the US …
research of this field, more than 200,000 cases are identified each year in the US …
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 …
groups. The early stage identification of lung cancer is required to control the integrated …
Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
[PDF][PDF] An Extensive Review on Lung Cancer Detection Using Machine Learning Techniques: A Systematic Study.
ESN Joshua, M Chakkravarthy… - Revue d'Intelligence …, 2020 - researchgate.net
Accepted: 7 May 2020 The Main Objective of this research paper is to investigate the
accuracy levels of various machine learning algorithms. To find out the accuracy levels of …
accuracy levels of various machine learning algorithms. To find out the accuracy levels of …
Lung nodule classification on computed tomography images using deep learning
Lung Cancer is the most fast growing cancer around the world and is mostly diagnosed at
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
A CAD system for lung cancer detection using hybrid deep learning techniques
Lung cancer starts and spreads in the tissues of the lungs, more specifically, in the tissue
that forms air passages. This cancer is reported as the leading cause of cancer deaths …
that forms air passages. This cancer is reported as the leading cause of cancer deaths …