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- W4327722661 abstract "In today’s scenario medical image forgery has turned out to be unsophisticated because of capable PCs, propelled image editing softwares and high resolution capturing gadgets. Insurance fraud is a deliberate deception perpetrated against or by an insurance company or agent for financial gain. The only downside that the health insurance industry has faced is the rise in the number of health insurance frauds. An endeavor is prepared to review the current improvements in the research area of advanced medical image fraud detection and comprehensive reference index has been exhibited on different methods for medical forgery identification. Key Words: CNN, Forgery detection, medical images" @default.
- W4327722661 created "2023-03-18" @default.
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- W4327722661 date "2023-03-18" @default.
- W4327722661 modified "2023-10-05" @default.
- W4327722661 title "A Survey on the Effective Machine Learning Approaches for Medical Images Forgery Detection" @default.
- W4327722661 doi "https://doi.org/10.55041/ijsrem18120" @default.
- W4327722661 hasPublicationYear "2023" @default.
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