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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59884
Volume:
10 |
4 |
April 2026
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.
â Breast cancer detection using AI and ML helps inaccuracy, automates feature extraction, and allows early detection. Convolutional Neural Networks(CNNs), type of an AI model, it analyzes medical images like mammograms, ultrasounds, and MRIs to identify tumors. These helps in improving efficiency by quickly processing big datasets and assisting radiologists in making more correct diagnoses. However, data quality, bias, and ethical concerns are some challenges addressed. Overall, AI and ML offer significant potential for improving accuracy for breast cancer screening and patient outcomes.
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Publication Date
11/15/2024
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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