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Machine learning-based model for predicting recanalization in isolated distal deep vein thrombosis and analysis of predictors
Loading metrics Open Access Peer-reviewed Research Article Citation: Kuang Y, Zhang J, An Z, Yang C, Guo W, Liu X, et al. (2026) Machine learning-based model for predicting recanalization in isolated distal deep vein thrombosis and analysis of predictors. PLoS One 21(5): e0349110. https://doi.org/10.1371/journal.pone.0349110 Editor: Yufeng Zhou, Chongqing Medical University, CHINA Received: November 21, 2025; Accepted: April 25, 2026; Published: May 8, 2026 Copyright: © 2026 Kuang et al.
IO-YOLOv5: Improved Pig Detection under Various Illuminations and Heavy Occlusion
3. Results 3.1. Experimental Environment and Configuration The main experimental environment is Python3.8.10, Pytorch1.10.0, CUDA11.3. The specific host configuration is shown in Table 1, and some experimental parameters are shown in Table 2.
Animals | Free Full-Text | Comparison of Venous Blood Gas and Biochemical Parameters in Sunda Pangolin (Manis javanica) and Chinese Pangolin (Manis pentadactyla) before and after Isoflurane Anesthesia
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