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AI Applications in segmentation and clinicalaAnalysis
🔹AI in healthcare not only allows for the analysis of large volumes of clinical data, but also optimizes diagnoses and treatment decisions through machine learning to identify complex patterns and improve patient experience.
Using various approaches, algorithms such as regression, KNN, and decision trees are applied for image segmentation, pathology detection, and precision medicine based on genomic data.
👉 Enroll in the Biomedical Engineering program at #TECHGlobalUniversity and bring technological innovation to healthcare.
#BiomedicalEngineering #MachineLearning #ArtificialIntelligence
Follow us on our social media!
📸 Instagram: @techglobaluniversity.in
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Видео AI Applications in segmentation and clinicalaAnalysis канала TECH Global University
Using various approaches, algorithms such as regression, KNN, and decision trees are applied for image segmentation, pathology detection, and precision medicine based on genomic data.
👉 Enroll in the Biomedical Engineering program at #TECHGlobalUniversity and bring technological innovation to healthcare.
#BiomedicalEngineering #MachineLearning #ArtificialIntelligence
Follow us on our social media!
📸 Instagram: @techglobaluniversity.in
📘 Facebook: TECH
🌐LinkedIn: TECH Global University
Видео AI Applications in segmentation and clinicalaAnalysis канала TECH Global University
medical machine learning supervised and unsupervised machine learning linear and logistic regression support vector machines decision trees KNN algorithm Random Forest Gradient Boosting K-Means clustering medical image segmentation precision medicine genomic data analysis longer present medical practice processing machine machine learning precision genomics imaging radiology automation digitalhealth telemedicine decisionmaking patterns learning neuralnet innovation
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28 апреля 2026 г. 20:30:35
00:02:11
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