International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
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Survey on Uterus Cancer and Its Types
Author(s) | Keerthishree B T, Pushpa Ravikumar |
---|---|
Country | India |
Abstract | Abstract: The vital component of the female reproductive system is the uterus. Women are currently dealing with a number of issues pertaining to reproduction. Additionally, the prevalence of cancer is rising daily, with a higher risk of malignant tumors in women. To effectively detect the cancer, a variety of techniques are being utilized, including image processing, machine learning, and datamining. This study describes the various machine learning algorithms used in the diagnosis of uterine cancer. |
Keywords | Uterus cancer, Machine learning, Histopathology |
Field | Engineering |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-30 |
Cite This | Survey on Uterus Cancer and Its Types - Keerthishree B T, Pushpa Ravikumar - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28145 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.28145 |
Short DOI | https://doi.org/g59zrv |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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