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A Systematic Review of Modern Approaches in Healthcare Systems for Lung Cancer Detection and Classification

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Abstract

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 growth of cells, which also minimize the death rate of human being. Due to the structural complexity of the human lung, radiologists are facing so many challenges in the detection of the cancerous region. Because of the complexity of the lung structure, the diagnosis of lung cancer has become a very challenging and popular research area among researchers. The various research literature is published in this field, which provides various smart healthcare models for lung cancer detection and classification (LCDC) in order to provide a better interface to diagnose lung cancer severity. In this manuscript, we review some popular research literature related to the smart healthcare system, which is basically based on artificial intelligence. The present analysis is mainly based on an in-depth characterization of artificial intelligence, which is popularly known as machine learning, and its specialized form, popularly known as deep learning. In this manuscript, we review various LCDC models of deep learning and machine learning which have high accuracy and efficiency with some popular convolutional networks and traditional segmentation methods, which are published from 2012 to 2022. This manuscript also analysed some popular already published research surveys to find the actual research gap and advancements in day-to-day technology to detect the cancerous part of the human lung effectively. Hence the proposed survey report has a very broad analysis in the area of lung cancer detection and classification, which will become very helpful for experts to develop some more effective and efficient models for lung cancer diagnosis. This survey will also motivate new researchers to develop effective and efficient healthcare systems.

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  1. Department of Electronics and Communication Engineering, National Institute of Technology, Patna, 800005, India

    Sanat Kumar Pandey & Ashish Kumar Bhandari

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Pandey, S.K., Bhandari, A.K. A Systematic Review of Modern Approaches in Healthcare Systems for Lung Cancer Detection and Classification. Arch Computat Methods Eng 30, 4359–4378 (2023). https://doi.org/10.1007/s11831-023-09940-x

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