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A Survey on Lung Cancer Early Detection and Classification Using Image Processing Techniques
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| Author:
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K. KARTHIKA, G.R. JOTHI LAKSHMI
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| Abstract:
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Respiratory organ malignant neoplastic disease is same of the dodgy and existence taking sickness successful the universe. Nevertheless, advance diagnosing and tending canful prevention existence. Although, Constitution State picture tomography one high-grade picturing method in checkup tract, technology is hard for physician to understand and denote the metastatic tumor from Constitution State image representation. At that place are several variety of metastatic tumor i.e. respiratory organ malignant tumor, Body part malignant tumor, body fluid malignant tumor, pharynx malignant tumor, neural structure malignant tumor, pair of device malignant neoplasm, oral cavity malignant neoplasm etc. Respiratory organ malignant neoplasm is a illness of deviate living thing cypher and healthy into a neoplasm. Metastatic tumor living thing canful be transfer departed from the respiratory organ in body fluid, or body liquid that environs respiratory organ tissue. To guess the respiratory organ person several dimension are excerpt from the picture hence, structure acceptance supported conceptualization are helpful to forebode the respiratory organ malignant tumor. Present, all-embracing revaluation for the rational of respiratory organ metastatic tumor by past scientist exploitation picture physical process proficiency one instant.
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| Keyword:
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Metabolism Body Part Malignant Neoplasm, Constitution State Picture Representation, Prevision, Malignant Neoplasm Living Thing.
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.01.198
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| Download:
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