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  Published Paper Details:

  Paper Title

A SURVEY ON IMAGE MINING METHODS AND CLASSIFICATION BREAST MALIGNANCY

  Authors

  K. VigneshKumar,  Dr. N. Sumathi,  Dr. S. Ragul

  Keywords

Data Mining, Image Mining, Breast Malignancy, Image Classification

  Abstract


Image mining finds useful information in large image datasets. Data mining, digital image processing, machine learning, image retrieval, and AI underpin image mining. Image mining extracts hidden data and patterns from images. Two key issues might arise while mining gathered images: first, the image must be acceptable for mining, and second, the image's selected items and characteristics must be processed to retrieve the most effective way to save time and effort. This research describes the image mining technique and classifies breast cancers using image mining. In addition, a generic scheme is provided to complete the procedures and analyse the current malignancy classification methodologies compared to training groups and accuracy. The report also compares current relevant publications. Deep convolutional neural network accuracy was reported at 98%. (DCNN).

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2302549

  Paper ID - 231627

  Page Number(s) - e422-e428

  Pubished in - Volume 11 | Issue 2 | February 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  K. VigneshKumar,  Dr. N. Sumathi,  Dr. S. Ragul,   "A SURVEY ON IMAGE MINING METHODS AND CLASSIFICATION BREAST MALIGNANCY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 2, pp.e422-e428, February 2023, Available at :http://www.ijcrt.org/papers/IJCRT2302549.pdf

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


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