Lung Cancer Cell Detection Based on Image Processing:A Review


Authors : Atmadeepa Srimany; Sujan Das; Debraj Paul

Volume/Issue : Volume 9 - 2024, Issue 11 - November


Google Scholar : https://tinyurl.com/ytuw28ms

Scribd : https://tinyurl.com/37crtaxe

DOI : https://doi.org/10.5281/zenodo.14524865


Abstract : Lung cancer accounts for 1.8 million deaths yearly from cancer-related causes worldwide, and its five- year rate of recovery is only 19%. Though traditional techniques like CT scans, biopsies or manual analysis of cell pattern evaluation are susceptible to inefficiency and mistakes made by people, early discovery greatly improves the health of patients. Digitalimage processing deals with applying computer algorithms to manipulate digital images. For many applications, including image compression, object detection, and face recognition, itis a necessary preprocessing step. This review will look at the most recent developments, difficulties, and potential paths for image processing's use in lung cancer cell identification.

Keywords : Lung Cancer, Cancer Identification, Malignant Tumour,Digital Image Processing.

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Lung cancer accounts for 1.8 million deaths yearly from cancer-related causes worldwide, and its five- year rate of recovery is only 19%. Though traditional techniques like CT scans, biopsies or manual analysis of cell pattern evaluation are susceptible to inefficiency and mistakes made by people, early discovery greatly improves the health of patients. Digitalimage processing deals with applying computer algorithms to manipulate digital images. For many applications, including image compression, object detection, and face recognition, itis a necessary preprocessing step. This review will look at the most recent developments, difficulties, and potential paths for image processing's use in lung cancer cell identification.

Keywords : Lung Cancer, Cancer Identification, Malignant Tumour,Digital Image Processing.

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