Andres Dewendt Urdaneta
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Andres Dewendt Urdaneta's research focuses on the application of machine learning techniques to medical image analysis, specifically in the classification of breast cancer ultrasound images. His work utilizes convolutional neural networks for multi-classification tasks, aiming to improve diagnostic accuracy. Urdaneta has one publication in this area, co-authored with collaborator Robin Ghosh from Arkansas Tech University. His academic profile includes an h-index of 1 and a total of 1 publication with 1 citation. This recent work indicates an active engagement with current research trends in medical imaging and artificial intelligence.
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
- Deep Learning-Based Multi-Classification of Breast Cancer Ultrasound Images Using Convolutional Neural Networks
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