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  Published Paper Details:

  Paper Title

EARLY DETECTION OF BREAST CANCER USING ARTIFICIAL INTELLIGENCE

  Authors

  Radhika,  Ms. Anshu Sharma

  Keywords

Breast Cancer, AI, Mammography, Neural Network, DeepLearning.

  Abstract


Although it is the most common disease in women worldwide, breast cancer may be effectively treated if detected at an early stage. Recently, artificial intelligence (AI)-based technology has showed promise for early breast cancer detection. The goal of this thesis is to investigate the possibility of using AI for screening and early detection of breast cancer. The research will use AI systems, such as convolutional neural networks and deep learning techniques, to analyse mammography images. The performance of the AI model will be evaluated in comparison to established diagnostic techniques. The primary purpose of this research is to evaluate the accuracy with which AI systems can detect breast cancer in its earliest stages. This study's findings might help shape a new approach to breast cancer diagnosis, which could ultimately lead to a significant reduction in mortality rates associated with the condition.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2307180

  Paper ID - 240883

  Page Number(s) - b514-b517

  Pubished in - Volume 11 | Issue 7 | July 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Radhika,  Ms. Anshu Sharma,   "EARLY DETECTION OF BREAST CANCER USING ARTIFICIAL INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 7, pp.b514-b517, July 2023, Available at :http://www.ijcrt.org/papers/IJCRT2307180.pdf

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ISSN: 2320-2882
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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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