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A Multiresolution Transform Based Detection of Throat Abnormalities

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Abstract

Medical image processing is gaining rapid significance as it plays a vital role in early detection and processing for getting intimate details for further treatment which has led to complete cure of fatal diseases which were once considered incurable. State of the art medical diagnosis equipments incorporated with signal processors have made the diagnosis quite fast and accurate. A multi resolution based detection of abnormality in the throat has been proposed in this paper which is based on a multi resolution approximation. Comparison of extracted feature points and certain other parameters between the reference and the image under study have been made use of in detection of the abnormality. The performance measures indicate a relatively good performance in terms of the detection rate and the image quality after processing when compared with existing techniques.

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Correspondence to B. Balasubramanian.

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Balasubramanian, B., Shunmuganathan, K.L. A Multiresolution Transform Based Detection of Throat Abnormalities. Natl. Acad. Sci. Lett. 37, 441–446 (2014). https://doi.org/10.1007/s40009-014-0246-3

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  • DOI: https://doi.org/10.1007/s40009-014-0246-3

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