Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models
Abstract Background This study aims to explore the accuracy of Convolutional Neural Network (CNN) models in predicting malignancy in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging (DCE-BMRI). Methods A total of 273 benign lesions (benign group) and 274 malignant lesions (malignant group...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-024-01484-1 |
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