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Found 4 papers, 2 papers with code
Multimodal Federated Learning in Healthcare: a Review
Recent advancements in multimodal machine learning have empowered the development of accurate and robust AI systems in the medical domain, especially within centralized database systems.
Neural Network Pruning for Real-time Polyp Segmentation
In this study, we show an application of neural network pruning in polyp segmentation.
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
This paper presents the CholecTriplet2022 challenge, which extends surgical action triplet modeling from recognition to detection.
Ranked #1 on
Action Triplet Detection
on CholecT50 (Challenge)
Task-Aware Active Learning for Endoscopic Image Analysis
Semantic segmentation of polyps and depth estimation are two important research problems in endoscopic image analysis.
