HiEndo: harnessing large-scale data for generating high-resolution laparoscopy videos under a two-stage framework
Recent success in generative AI has demonstrated great potential in various medical scenarios. However, how to generate realistic and high-fidelity gastrointestinal laparoscopy videos still lacks exploration. A recent work, Endora, proposes a basic generation model for a gastrointestinal laparoscopy...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Computer Assisted Surgery |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24699322.2025.2536643 |
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