Rectvision | Health - Create real-time computer vision/NLP applications with pre-built modules, state-of-the-art algorithms and zero code!

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Industry

Health

Providing companies in the Health sector with useful insights about the human body.

Use cases

Human activity recognition

In relation to regular physical activity monitoring and recognition, solid evidence shows that using computer vision to monitor human physical activity like walking, talking, standing, sitting etc can potentially manage and reduce the risk of many diseases such as obesity, cardiovascular and diabetes. We provide data that can help your model identify the specific movement or action of a person.

Image scans interpretation

Medical data annotation can influence your healthcare business by enabling easier patient care, which can be achieved through faster detection of ailments or traces of diseases in the human body. When it comes to image scans interpretation, our data annotation tool helps to label results from X-Ray, CT, MRI scans, or Ultrasound to generate meaningful inferences about the state of the body thereby, saving millions of lives.

Microscopic detections

Our annotation tool makes it easier to capture microscopic images like cancerous cells from data sets containing millions of cells and structures, then generate inferences that contributes to disease detection, diagnosis and analysis.

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