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Found 5 papers, 2 papers with code
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach
Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications.
Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
In this study, we emphasize the integration of a pre-trained MICA model with an imperfect face dataset, employing a self-supervised learning approach.
3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas.
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach
Recently, computer-aided diagnostic systems (CADs) that could automatically interpret medical images effectively have been the emerging subject of recent academic attention.
A novel approach to remove foreign objects from chest X-ray images
We initially proposed a deep learning approach for foreign objects inpainting in smartphone-camera captured chest radiographs utilizing the cheXphoto dataset.
