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Home - Mahmood Lab Harvard Medical School - Computational Pathology
Faisal Mahmood, Assistant Professor, Harvard Medical School. Pathology Image Analysis Lab, Computational Pathology, Deep Learning, Artificial Intellegence
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Visiopharm · Pathology image analysis software | Because pathology deserves more
Histopathology image analysis software for cancer diagnostics and research with AI and deep learning technologies in digital Augmented Pathology™
Diagnostic Image Analysis Group
The Diagnostic Image Analysis Group is part of the Departments of Imaging, Pathology, Ophthalmology, and Radiation Oncology of Radboud University Medical Center. We develop computer algorithms to interpret and process medical images.
Computational and Integrative Pathology Group
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.
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
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The A-eye Research Group aims at bringing artificial intellingence solutions to healthcare and, specifically, eye care. Our expertise lies in developing retinal image analysis methods based on deep learning technology for detection, diagnosis and quantification of retinal diseases. Application areas are automated screening of eye diseases, namely AMD, DR and glaucoma, for cost-effective triage of patient at risk; extraction of quantitative image biomarkers from multimodal data for accurate analysis of large population-based datasets; and the development of computer-aided solutions for personalized diagnosis and treatment of retinal diseases.
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Ibex Medical Analytics develops AI-driven clinical decision support tools that help pathologists deliver more efficient, metric-driven, objective and accurate diagnosis. It combines AI, data science, image analysis and machine learning technologies and applies them to cancer diagnostics in digital pathology.
National Alliance for Medical Image Computing
The National Alliance for Medical Imaging Computing (NA-MIC) is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data.
Harness the full potential of your digital pathology data
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Voyage81 is a deep-tech AI-based computational imaging startup and the only company in the world to develop hyperspectral imaging software...
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Cyril Meyer | PhD student in computer science, image analysis and signal processing using deep/machine learning and mathematical morphology.
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Medical imaging has become an integral component of clinical workflow in medical diagnosis and surgical interventions. New developments in computer vision, machine/deep learning and...
Pete’s blog | A blog about QuPath, computational pathology, and bioimage analysis in general. But mostly about QuPath.
A blog about QuPath, computational pathology, and bioimage analysis in general. But mostly about QuPath.
Welcome To Trusted Computing Group | Trusted Computing Group
The Trusted Computing Group (TCG) is a not-for-profit organization formed to develop, define and promote open, vendor-neutral, global industry specifications and standards, supportive of a hardware-based root of trust, for interoperable trusted computing platforms.TCG’s core technologies include specifications and standards for the Trusted Platform Module (TPM), Trusted Network Communications (TNC) and network security and self-encrypting … Continue reading "Welcome To Trusted Computing Group"
ECCOMAS – European Community on Computational Methods in Applied Sciences
ECCOMAS, the European Community on Computational Methods in Applied Sciences, is a scientific organization grouping together European associations with interests in the development and applications of computational methods in science and technology. Know More News
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Computational Neuroimaging
Research Activities The ”Computational Neuroimaging” (CN) group is headed by Kristoffer H. Madsen. The main focus of the group is modelling and analysis of neuroimaging data based on machine learning methodology. The efforts within the group aim to improve sensitivity and interpretability of...
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Computer Trust Corp. is a premier developer of leading-edge solutions for anatomic pathology laboratories. Discover WinSURGE™ family of information systems.
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Computational Thinking | AI2C Technologies AG
AI2C Technologies AG Deep Reinforcement Learning platform is redefining Asset Management with Computational Thinking
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A.I. and Deep Learning medical platform provides algorithms for meidcal imaging analysis, designed for healthcare specialists, such as Radiologists and MDs.
Home « RPS Imaging Science Group
The Imaging Science Group is one of several Special Interest Groups of the Royal Photographic Society. The Group's fields of interest cover all aspects of the science and technology of imaging, embracing both conventional photography and electronic imaging with image analysis, aerial and satellite technology.
Computational Systems Biology Group
Website of Computational Systems Biology Group at Gebze Institute of Technology
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Computer Vision and Deep Learning Engineer @Blue River Technology @Stanford University
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Creative Computing Club™ provides technology based learning opportunities for all ages and abilities to participants in Suffolk.
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Signal Group Ltd develops and manufactures gas analysers for a range of applications using the latest technology in gas analysis.
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CA3 - Computational Intelligence Research Group
The Computational Intelligence Research Group (CA3) was formed in 1996 and in 2000 it was integrated in the Centre of Technologies and Systems (CTS) of UNINOVA.
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At Neurobotx, we use edge computing for computer vision and robotics to optimize your industrial operations. Neurobotx also builds algorithms for drone, aerospace and automotive industries based on brain-derived computer vision and deep learning.
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Software and Computational Systems Lab
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Computer Science Student | Andrew Boyley
Aspiring developer with a passion for programming and learning new technologies. Currently studying Computer Science at the University of the Witwatersrand
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Xu Han - Department of Computer Science and Technology, Tsinghua University
I am a Ph.D. student in the Department of Computer Science and Technology at Tsinghua University, advised by Professor Zhiyuan Liu. My research interests focus on the intersection of natural language processing, deep learning and computer systems.
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About Us Intelligent solutions to real-world problems demand artificial intelligence at scale. At the heart of most AI technology is a Deep-Learning architecture which is computationally intensive. At Aarish Technologies Inc. (ATI), we have addressed the computational AI problem using…
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The Southern Highlands Computer Users Group aims to help members of our community—particularly seniors—enjoy the benefits of computer technology.
Ronald Clark - Computer Vision, visual SLAM, AI, Deep Learning
Ronald Clark is a computer vision researcher working in the area of 3D vision. His research interests include visual SLAM, scene understanding, optimization methods, generative models and deep learning.
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Premier Knowledge Solutions is a St. Louis-based innovative information technology computer training company offering computer and learning solutions.
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Radboud AI for Health is an ICAI lab where Radboud University and Radboudumc collaborate to create AI innovations in healthcare. We offer courses for professionals, MSc student projects and PhD projects.
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