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AI-Powered Breast Cancer Detection

By Saravanan Kaliyaperumal

AI-Powered Breast Cancer Detection

By Saravanan Kaliyaperumal

0 - Default Title
Description
Breast cancer remains one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate detection plays a crucial role in improving survival rates and guiding effective treatment strategies. With the rapid advancements in Artificial Intelligence (AI), machine learning and computer vision techniques are increasingly being applied to automate the processes of breast cancer classification and image segmentation. This study focuses on the development of an intelligent framework that integrates recursive feature elimination (RFE) with a Support Vector Machine (SVM) classifier to enhance the accuracy and reliability of breast cancer detection and analysis. Experimental results demonstrate that the combination of segmentation techniques, RFE-based feature optimization, and SVM classification significantly improves diagnostic performance when compared to conventional machine learning approaches. The model achieves high accuracy, precision, and recall, making it suitable for clinical applications where reliability is critical.
Product details
Binding:
Paperback
Number of Pages:
52
Release Date:
2025-10-27
Publication Date:
2025-10-27
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208457157
ISBN13:
9786208457150
GPSR Manufacturer Reference:
[email protected]
Weight:
96 g
Height:
150 cm
Width:
220 cm
Thickness:
4 cm
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