Machine-Learning Assisted Segmentation to Assess the Outcomes of Tissue Ablation with Nanosecond Pulses
Author:
Affiliation:
1. Old Dominion University,Department of Electrical and Computer Engineering,Norfolk,Virginia,USA
2. Ocean Lakes High School,Virginia Beach,Virginia,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10315953/10315721/10315982.pdf?arnumber=10315982
Reference20 articles.
1. Segment Anything;kirillov;arXiv preprint arXiv 2304 06798,2023
2. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
3. On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence;gao;arXiv preprint arXiv 2304 06798,2023
4. Segment anything model for medical image analysis: An experimental study
5. Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications;ji,2023
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