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A multi-scale information fusion medical image segmentation network based on convolutional kernel coupled updata mechanism.
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State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China. Electronic address:
Medical image segmentation is pivotal in disease diagnosis and treatment. This paper presents a novel network architecture for medical image segmentation, termed TransDLNet, which is engineered to enhance the efficiency of multi-scale information utilization. TransDLNet integrates convolutional neural networks and Transformers, facilitating cross-level multi-scale information fusion for complex medical images.
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Financial Impact of Medicare Payment Reform for E/M Visits on Compensation for Otolaryngologic Procedures in 2023.
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Department of Otolaryngology-Head and Neck Surgery, The Ohio State University College of Medicine, Columbus, Ohio, USA.
The Centers for Medicare & Medicaid Services (CMS) recently increased payment for evaluation and management (E/M) visits, but did not apply these updates to post-operative global period visits. We investigated the resulting Medicare fee-for-service revenue loss for otolaryngologists. Using publicly available Medicare spending/utilization data, we estimated how much additional payment otolaryngologists would have received in 2023 if CMS had reimbursed global period visits at the same rates as other E/M visits.
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Department of BioMechanical Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628 CD, South-Holland, The Netherlands.
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Department of Radiation Oncology, Duke University, North Carolina, USA.
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