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Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy

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₹5,500.00
Aim: The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.
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Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

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₹5,500.00

Aim:

          To develop a high-accuracy breast cancer classification system using an optimized Support Vector Classifier integrated with preprocessing and feature selection techniques.

 
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