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ICCCI 2025 Paper 113 by Nguyen Duy Ham is a document available to read on EtoBox.

What is ICCCI 2025 Paper 113 about?

This paper presents a novel method for breast cancer classification using a combination of fuzzy inference systems (FIS) and explainable artificial intelligence (XAI) to enhance the accuracy and interpretability of mammography results. The proposed model achieves over 94.64% accuracy and an IoU index of 0.899, demonstrating its effectiveness in detecting and classifying breast cancer. The approach integrates deep learning techniques with rule-based algorithms to improve diagnosis and treatment options for p

Author

Nguyen Duy Ham

Language

EN