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9 hours ago · Biophotonics is an emerging field demonstrating rapid growth, and optical designers and researchers are persistently developing new ways of capturing high-quality imaging, increased sensitivity ...
9 hours ago · Multimodal medical image fusion technology involves spatial, informational, and semantic fusion of diverse three-dimensional medical imaging data , including computed tomography (CT), magnetic resonance imaging (MRI), and facial scans (FS). These emerging technologies contribute to enhancing the clinical usability and adaptability of medical ...
9 hours ago · AI’s prowess in analyzing complex medical imaging data, including MRI scans, X-rays, and CT scans, has significantly enhanced diagnostic accuracy. By swiftly identifying subtle anomalies that may elude human perception, AI algorithms empower healthcare providers to diagnose conditions earlier and with greater precision.
9 hours ago · Posted by Defense World Staff on Jun 21st, 2024. Perimeter Medical Imaging AI, Inc. ( OTCMKTS:PYNKF – Get Free Report )’s share price fell 4.5% on Thursday . The company traded as low as $0.30 ...
9 hours ago · D. Medical Imaging Drugs Advisory Committee. Reviews and evaluates available data concerning the safety and effectiveness of marketed and investigational human drug products for use in diagnostic and therapeutic procedures using radioactive pharmaceuticals and contrast media used in diagnostic radiology.
9 hours ago · Capptura: Medical Imaging App for SSPA Professionals. Capptura is an application designed for professionals within the Sistema Sanitario Público de Andalucía (SSPA). It is seamlessly integrated with Diraya Teleconsulta, the SSPA's corporate teleconsultation platform. This app allows doctors and nurses to easily capture patient images during ...
9 hours ago · 8. Brioso, Ricardo Coimbra, et al. "Semi-supervised multi-structure segmentation in chest X-ray imaging." 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2023. 9. Chen, Lingdong, et al. "Development of lung segmentation method in x-ray images of children based on TransResUNet."
