Search Results for author:
Found 3 papers, 0 papers with code
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
Conclusion: By leveraging YOLOv8's advances, this work provides a deep learning solution to enable efficient quantification and analysis of wood cells suitable for practical applications.
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
Preliminary results on the BRATS 2020 testing set show that achieved by our proposed approach, the dice (DSC) scores of ET, WT, and TC are 0. 79457, 0. 87494, and 0. 83712, respectively.
Context Aware 3D UNet for Brain Tumor Segmentation
UNet is the primary source in the performance of 3D CNN architectures for medical imaging tasks, including brain tumor segmentation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
