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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44542
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AI is transforming the medical field, especially in early detection and categorization of breast cancer. Deep learning models like CNNI-BCC are displaying impressive capabilities in examining MRI images to precisely recognize different types of breast cancer. This advancement in technology has significant implications for enhancing patient outcomes. By utilizing AI, healthcare professionals can now receive more accurate and prompt diagnoses. CNNI-BCCâs exceptional accuracy in analyzing MRI images allows for earlier detection of breast cancer, which is crucial for successful treatment. This technology enables doctors to identify potential abnormalities that may have been missed by traditional methods, leading to more effective interventions.
KEYWORDS
Publication Date
10/21/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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