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Prediction and classification of lung cancer using machine learning techniques
P Chaturvedi, A Jhamb, M Vanani… - IOP conference series …, 2021 - iopscience.iop.org
In all the disease that have existed in mankind lung cancer has emerged as one of the most
fata one time and again. Also, it is one of the most common and contributing to deaths …
fata one time and again. Also, it is one of the most common and contributing to deaths …
Lung cancer disease diagnosis using machine learning approach
The analysis and study of lung diseases has been the most intriguing investigation zone of
medical experts from early days to the present day. To address this concern, a diagnosis …
medical experts from early days to the present day. To address this concern, a diagnosis …
Early detection of lung cancer using machine learning technique
The study and diagnosis of the lung diseases is the investigating point of interest for the
medical experts existing from the a foretime to the current day. A diagnostic system is …
medical experts existing from the a foretime to the current day. A diagnostic system is …
Hybrid approach for feature extraction of lung cancer detection
T Patel, V Nayak - 2018 Second international conference on …, 2018 - ieeexplore.ieee.org
Recently, image processing techniques are widely used in several medical areas for image
improvement in earlier detection and treatment stages, where time factor is very significant to …
improvement in earlier detection and treatment stages, where time factor is very significant to …
An automated lung cancer detection system based on machine learning algorithm
Cancer has been one of the most serious health challenges to the human kind for a long
period of time. Lung cancer is the most prevalent type of cancer which shows higher death …
period of time. Lung cancer is the most prevalent type of cancer which shows higher death …
Detection and Diagnosis of Lung Cancer using Machine Learning Convolutional Neural Network Technique
The diagnosis and analysis of the lung diseases has been an appealing task for the clinical
experts in the dawning and in the latter days. To certain extent, the analysis has to be done …
experts in the dawning and in the latter days. To certain extent, the analysis has to be done …
Early stage lung cancer diagnosis using ANN classifier
SS Bhise, SR Khot - … on Artificial Intelligence and Smart Systems …, 2021 - ieeexplore.ieee.org
The identification of lung cancer at the early stage is very demanding and difficult task due to
construction of the cell. The cancer grows in the body when cancerous cells start to develop …
construction of the cell. The cancer grows in the body when cancerous cells start to develop …
Roc curve analysis of different hybrid feature descriptors using multi classifiers
Tremendous success of machine learning algorithms at pattern recognition creates interest
in new inventions. Machine learning in an era of big data is that significant hierarchical …
in new inventions. Machine learning in an era of big data is that significant hierarchical …
[PDF][PDF] A bibliometric approach to track research trends in computer-aided early detection of cancer using biomedical imaging techniques
The paper's primary goal is to conduct a comprehensive bibliometric analysis of scholarly
publications related to computer-aided early detection of cancer using biomedical imaging …
publications related to computer-aided early detection of cancer using biomedical imaging …
Detection of lung cancer from ct images using image processing
Cancer is a life-threatening disease which involves abnormal cell division and invasion of
such cells to other parts of the body as well. Lung cancer is medically named as Lung …
such cells to other parts of the body as well. Lung cancer is medically named as Lung …