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FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells.
Int J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
Gluteus medius contracture: A case report and review of the literature.
Medicine (Baltimore)
January 2025
Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, PR China.
Rationale: Bilateral gluteus medius contractures in adults are rare in clinical practice, with only a few cases reported. These contractures may result from repeated intramuscular injections during childhood. Understanding the clinical manifestations, diagnostic process, treatment, and outcomes can provide insights into effective management strategies.
View Article and Find Full Text PDFDifferential diagnosis of thrombosis and myxoma in unusual heart positions by dual-energy CT multiple parameter imaging: A case series.
Medicine (Baltimore)
January 2025
Department of Medical Imaging, Jincheng People's Hospital, Shanxi, China.
Rationale: Thrombus is the most common occupying lesion in the cardiac chambers, it is often distinguished from cardiac neoplastic occupations. Among them, the most common is cardiac myxoma, whose imaging manifestations are often confused with thrombus. However, the 2 types of lesions have different therapeutic strategies and are both potentially high-risk sources of embolism, so early differentiation between intracardiac thrombus and cardiac tumor is essential.
View Article and Find Full Text PDFConstruction of a prognostic signature based on T-helper 17 cells differentiation-related genes for predicting survival and tumor microenvironment in head and neck squamous cell carcinoma.
Medicine (Baltimore)
January 2025
Department of Otolaryngology, Hangzhou Red Cross Hospital (Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine), Hangzhou, Zhejiang, China.
T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.
View Article and Find Full Text PDFAI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
J Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
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