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Found 6 papers, 4 papers with code
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
The proposed model's accuracy and versatility offer promising prospects for improving dental diagnoses, treatment planning, and personalized healthcare in the oral domain.
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments.
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
As the top decoder stage carries a limited number of feature maps, max-out scSE is bypassed there to form a shorted P-scSE.
S-R2F2U-Net: A single-stage model for teeth segmentation
In this paper, we investigate residual, recurrent, and attention networks to segment teeth from panoramic dental images.
Automatic tracing of mandibular canal pathways using deep learning
A 3D U-Net architecture is used for model training.
Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
Fully automatic segmentation of wound areas in natural images is an important part of the diagnosis and care protocol since it is crucial to measure the area of the wound and provide quantitative parameters in the treatment.
