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Found 3 papers, 1 papers with code
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided Embedding
This paper presents a novel method of smoke removal from the laparoscopic images.
Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image
An accurate 3D surgical instrument model is a prerequisite for precise predictions of the pose and depth of the instrument.
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
In contrast to the previous state-of-the-art, we introduce Min-Max Similarity (MMS), a contrastive learning form of dual-view training by employing classifiers and projectors to build all-negative, and positive and negative feature pairs, respectively, to formulate the learning as solving a MMS problem.
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