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Multi-CNN Deep Feature Fusion and Stacking Ensemble Classifier for Breast Ultrasound Lesion Classification
Objective: To develop and validate a robust machine learning model for classifying breast ultrasound images into benign, malignant, and normal categories, aiming to enhance diagnostic accuracy using advanced feature extraction and ensemble learning techniques. Methods: A dataset comprising 2233 ima...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BUCA SEYFI DEMIRSOY TRAINING AND RESEARCH HOSPITAL
2025-08-01
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| シリーズ: | Forbes Tıp Dergisi |
| 主題: | |
| オンライン･アクセス: | https://forbestip.org/articles/multi-cnn-deep-feature-fusion-and-stacking-ensemble-classifier-for-breast-ultrasound-lesion-classification/doi/forbes.galenos.2025.02360 |
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