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  Published Paper Details:

  Paper Title

Beyond the Scan: WeCare's Odyssey in Women's Health

  Authors

  Prof. Hemlata Mane,  Bhakti Kate,  Shruti Mahajan,  Sayali Birje

  Keywords

Convolutional Neural Network (CNN), Diagnosis, Medical Imaging, Early Intervention, Personalized Treatment, Reproductive Health, Polycystic Ovary Syndrome Detection, Deep Learning- based Hormone Analysis, PCOS Diagnosis Algorithm

  Abstract


PCOS is a common endocrine condition that affects women who are fertile. It is typified by irregular period, ovarian cysts, and assesses. In order to mitigate the potential long-lasting health issues linked with... PCOS, premature discovery and intervention are essential. In this study, WeCare--a thorough women's wellbeing guide that incorporates front-line technologies for PCOS detection--is introduced. WeCare provides a novel method for the prompt and reliable diagnosis of PCOS by analyzing medical imaging data, including sonography scans and lumbar MRI images, by utilizing Convolutional Neural Network (CNN) algorithms. WeCare improves access to healthcare by utilizing deep learning to enable early intervention, individualized treatment programs, and better symptom management for PCOS By combining advanced technology with healthcare expertise, this interdisciplinary approach enables women to proactively manage their reproductive health and overall well-being.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAF02012

  Paper ID - 261154

  Page Number(s) - 53-57

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Prof. Hemlata Mane,  Bhakti Kate,  Shruti Mahajan,  Sayali Birje,   "Beyond the Scan: WeCare's Odyssey in Women's Health", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.53-57, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02012.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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