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Homepage - COMPAY 2021
COMPUTATIONAL PATHOLOGYThe multidisciplinary domain embodies the synergy of Digital Pathology, Medical Image Analysis, Computer Vision and Machine Learning. The huge amount of information and data available in multi-gigapixel histopathology images makes digital pathology the perfect use case for advanced image analysis techniques. For this reason, deep learning and artificial intelligence have successfully powered computational pathology… Continue reading Homepage
Pathology Software for the Modern Digital Laboratory | Proscia
Concentriq, our digital pathology platform, is redefining the pathology laboratory. Learn about our AI-powered, computational pathology software here.
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Machine Learning for Computer Security: Mlsec.org at StatsCrop
Mlsec(Machine Learning for Computer Security): Machine Learning for Computer Security Mlsec.org at StatsCrop.
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Learn Machine Learning, AI & Computer vision
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Machine learning – subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[1] Due to numerous applications of machine learning in different fields, the use of machine learning ... Read more
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The Computational and Integrative Pathology Group at Northwestern University develops machine learning tools and open-source software for histology and genomics. PI Lee Cooper has received funding from the NCI, NLM, NIBIB, NINDS, NIDDK, industry, and private foundations.
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