Why DNN Training Appliance in Medical Diagnostics
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Pain Free
All-in-one package eliminates the painful process of setting up your own hardware & software environment.
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Performance Efficiency
Achieve maximum utilization of your hardware investment with powerful optimization features.
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Ease of Use
Faster startup of a DNN training environment for healthcare professionals; spend less time and resources on employee training.
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Training Choices
Standard version has image classification and object detection, yet a customized solution can be made.
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System Monitoring
Real-time monitoring of system components (GPU, CPU, Memory, etc.) to make sure system is stable, and for greater peace of mind.
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Time Efficiency
Deep learning can be done faster using the appliance vs an open source community solution.
DNN Training Appliance Automates Medical Diagnostics Procedure
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Oncology
Use deep learning training algorithms to provide cancer tissue recognition capabilities at the same level as trained doctors.
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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.
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Pathology
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.
Together We Are Smarter
