珐琅
发表于 2025-3-25 04:17:47
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry, respectively. An attention-based MIL model was adapted and applied to this dataset. RESULTS: Our models were able to predict BCC at surgical margins with AUC as high as 91%. The models were robust to changes in cautery tip but their performance decreased slightly. The models were also tested intra
LARK
发表于 2025-3-25 08:04:14
An Interactive Mixed Reality Platform for Bedside Surgical Proceduresprecision of the insertions with mixed reality as well as the usability of our navigation system. The results indicate that using mixed reality improves the accuracy by over 35% and that the system ranks high based on the usability score.
Radiation
发表于 2025-3-25 13:09:52
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宫殿般
发表于 2025-3-25 18:49:54
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FER
发表于 2025-3-25 20:58:49
A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Obical data, with the experimental results showing that our proposed method fully outperforms current hybrid approaches. In particular, the tracking error was significantly reduced from (5.9 mm, 9.9.) to (3.3 mm, 8.6.).
Pandemic
发表于 2025-3-26 02:44:43
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LAST
发表于 2025-3-26 08:23:03
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Abrupt
发表于 2025-3-26 10:49:59
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Repatriate
发表于 2025-3-26 13:42:30
Reinforcement Learning of Musculoskeletal Control from Functional Simulationsontrol is introduced, enabling straightforward extension to additional muscles and higher degrees of freedom. Using the biomechanical model, multiple episodes are simulated on a cluster simultaneously using the evolving neural models of the DRL being trained. Results are presented for a single-axis
信任
发表于 2025-3-26 17:31:54
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Netwof implementing groupwise registration. We highlight the versatility of the proposed framework for various applications on multimodal cardiac images, including single-atlas-based segmentation (SAS) via pairwise registration and multi-atlas segmentation (MAS) unified by groupwise registration. We eval