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Deep learning for endoscopic depth estimation: A review
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DOI：10.1016/j.displa.2025.103086.png)
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Abstract
En 中文
• Reviews the application of deep learning in endoscopic depth estimation. • Analyzes the characteristics of endoscopic datasets and metric selection. • Compares supervised, self-supervised, and semi-supervised learning methods. • Suggests future work: high-quality data and lightweight models for endoscopy.
Keywords:
Depth estimation
Endoscopic surgery
Deep learning
Medical imaging
Surgical navigation
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