Supplying high-quality medical picture annotation to AI to enable the healthcare sector to better utilize the potential of the technology and ensure the accuracy of therapeutic, diagnostic, and surgical procedures. Use our experience in medical picture annotation to create high-quality healthcare training data that enables the creation of state-of-the-art AI-powered healthcare applications.
We carefully analyze and annotate human embryo cells and annotate embryo parts like zona pellucida, cells etc., to train AI powered In vitro fertilization models.
We Analyse morphological and inner cells of an eye and using different annotation
Techniques as per client requirements for various eye disease Identification
Also we are experience on segmentation of Eye outer parts like pupil,Iris,sclera,etc
Examination of Diagnostic imaging, such as X-rays, CT scans, and MRI scans, facilitates illness diagnosis and treatment. We examine this generated imagery and, using a variety of annotation techniques, label specific disease symptoms.
The project main goal to provide all network dentist a powerful solution capable to
support pathological features detection within radiographic images. In order to do so it is
required to train the ML algorithm with previously labelled images including all
pathological features detectable from the image itself.
Mainly we experienced Irregularities are
