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Research Areas
Biography and Research Information
OverviewAI-generated summary
Andres Dewendt Urdaneta's research focuses on the application of deep learning techniques, specifically convolutional neural networks, for the multi-classification of breast cancer ultrasound images. His work aims to improve the accuracy and efficiency of cancer detection through advanced computational methods. This research contributes to the field of medical imaging and artificial intelligence in healthcare.
Metrics
- h-index: 1
- Publications: 1
- Citations: 1
Selected Publications
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Deep Learning-Based Multi-Classification of Breast Cancer Ultrasound Images Using Convolutional Neural Networks (2025)
Collaboration Network
Top Collaborators
Robin Ghosh
Arkansas Tech University (US)
1 shared publication
- Deep Learning-Based Multi-Classification of Breast Cancer Ultrasound Images Using Convolutional Neural Networks
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