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  Published Paper Details:

  Paper Title

IMPROVING THE PERFORMANCE OF THE GRADIENT MULTILEVEL DAM (GM-DAM) TO INCREASE THE ACCURACY IN DETECTING AND CLASSIFICATION OF DME IMAGES

  Authors

  Syed Thisin,  G Mahesh,  A.Geetha,  J Revanth

  Keywords

OCT, AMD, DMA, GM-DAM

  Abstract


Diabetes-related macular edoema (DME) is a retinal condition that can cause vision loss if early preventative measures are not implemented. Early diagnosis of diabetic retinopathy may lead to DME, which further aids in preventing blindness. Currently, professionals are using a manual technique to try to find the DME in the OCT picture. Detecting the DME is a more difficult and time-consuming task. The suggested approach is focused on identifying DME-affected photos and images that are not impacted by DME. This study introduces Multi-dimensional Amalgamate Classification Using Optical Coherence Tomography (OCT) to address the challenges in DME detection. The Gradient Multilevel DAM (GM-DAM) is used to recognize and classify DME pictures more accurately, which enhances performance. Experimental results show the performance of proposed system

  IJCRT's Publication Details

  Unique Identification Number - IJCRTV020030

  Paper ID - 231072

  Page Number(s) - 175-180

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Syed Thisin,  G Mahesh,  A.Geetha,  J Revanth,   "IMPROVING THE PERFORMANCE OF THE GRADIENT MULTILEVEL DAM (GM-DAM) TO INCREASE THE ACCURACY IN DETECTING AND CLASSIFICATION OF DME IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.175-180, March 2018, Available at :http://www.ijcrt.org/papers/IJCRTV020030.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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