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New training scheme for convolutional neural networks automates cell segmentation and counting

The use of machine learning to perform blood cell counts for diagnosis of disease instead of expensive and often less accurate cell analyzer machines has nevertheless been very labor-intensive as it takes an enormous amount of manual annotation work by humans in the training of the machine learning model.

Machine learning radically reduces workload of cell counting for disease diagnosis

Machine learning radically reduces workload of cell counting for disease diagnosis
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Miniature Biohybrid Robots for Drug Delivery to Targeted Sites

Vine-Like Soft Robot with High Controllability

Opportunities of Robotics in Enterprise Industry, 2020 Report Featuring German Bionic Systems, Locus Robotics, Sarcos, Universal Robots, & Vecna Robotics

Opportunities of Robotics in Enterprise Industry, 2020 Report Featuring German Bionic Systems, Locus Robotics, Sarcos, Universal Robots, & Vecna Robotics News provided by Share this article Share this article ResearchAndMarkets.com s offering. The Growth Opportunity report on Opportunities of Robotics in Enterprise Industry discusses the impact of Collaborative Robots, Material Handling Robots and Robotic Exoskeletons in the Enterprise Industry. Robotics technology has been undergoing major technological growth in recent years. With the advent of Industry 4.0 and smart factories, all industries across the spectrum are adopting advanced robotic automation solutions for varied applications according to industry requirements. Currently, the main robotic technologies are categorized under collaborative robots (cobots), robotic exoskeletons, warehouse and logistics robots.

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