A Data-Driven Medical Age
Why DNN Training Appliance in Medical Diagnostics
All-in-one package eliminates the painful process of setting up your own hardware & software environment.
Achieve maximum utilization of your hardware investment with powerful optimization features.
Ease of Use
Faster startup of a DNN training environment for healthcare professionals; spend less time and resources on employee training.
Standard version has image classification and object detection, yet a customized solution can be made.
Real-time monitoring of system components (GPU, CPU, Memory, etc.) to make sure system is stable, and for greater peace of mind.
Deep learning can be done faster using the appliance vs an open source community solution.
DNN Training Appliance Automates Medical Diagnostics Procedure
Use deep learning training algorithms to provide cancer tissue recognition capabilities at the same level as trained doctors.
Scanning and MRI
Convolutional neural nets have been used for MRI image segmentation to delineate the boundaries of certain tissue. Using machine learning for image analysis is a promising development in medical imaging.
Pathology is a medical specialty based on laboratory analysis of body tissue and body fluids such as blood or urine. Machine learning enhances the number of studies traditionally observed by experts using a microscope.