AI on Radiology

Impact of Artificial Intelligence on Recruitment

Artificial intelligence has a great impact on the entire human resource industry.  One special area where it is impacting is the recruitment side.  It benefits both the employers and the candidates. Some of these areas are  Artificial intelligence will improve the way recruitment is done in the present. With its ever-evolving tech and use of …

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3 Human Resource Companies Using AI

Multiple companies are using artificial intelligence to transform the human resource industry. Three of these are This company has created an artificial intelligence-powered assistant, Olivia which can be used by recruiters and job seekers. This assistant interacts with candidates on various platforms like web apps and social media to learn about them.  It then presents …

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Areas Of HR That Benefit From AI

AI can help the HR industry by revolutionizing the way traditional practices used to take place and improving it through efficiency. Some of the areas of human resources that can benefit from the use of artificial intelligence are: These are just a few areas that will evolve as the tech evolves. But, with AI, the …

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Artificial Intelligence and its Role in Human Resources

Artificial intelligence is used in almost all the domains of running a business. One area that is known to benefit is the human resource.  Human beings are the biggest asset of any organization. Imagine combining the power of the human brain with that of tech. With AI the HR departments can enhance the process, streamline …

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Types of Video Annotations

2D Bounding Boxes: The rectangular boxes are made use of to identify objects, label and to categorize. You need to draw the boxes manually around objects in motion across many frames. The box is placed closer to the edge of the object and labelled correctly for classes and attributes. It helps in the depiction of …

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Uses of Semantic Segmentation Medical Image Annotation

Semantic segmentation image annotation is used to annotate various types of medical images like X-rays, MRI and CT scans of several organs or parts of the human body. It also helps to annotate or highlight the human body organs partially that are injured due to illnesses. The key benefit of semantic segmentation is, it helps …

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Semantic Segmentation for Medical Image – Single Class

There are several techniques of image annotation used to establish the AI model through machine learning. Some of them include cuboid annotation, polygon annotation and bounding box. However, semantic segmentation is the best demonstrative technique that provides the detailed findings with illnesses segmented and categorised in an individual class. Medical image segmentation aids to detect …

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Overview of Semantic Image Segmentation for Clinical Imaging Datasets

Telemedicine is evolving rapidly and hence the need for quicker transmission of diagnostic clinical images and image processing arises. AI in healthcare has become highly significant with more accurate detection of illnesses using medical imaging datasets. As a result, it helps AI models to understand and track various types of illnesses using computer vision technology. …

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Transformation of Healthcare Through Medical Imaging Annotation

The technology needs to be in place as its crucial for medical care organisations that seek to provide better patient results. Therefore, medical skilled developers are striving to set up the next generation of software techniques to help medical experts to provide better healthcare to patients. Annotation attributes offer numerous advantages in these continuing efforts. …

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