Deep Learning Can Aid in Diagnostic Work and Diagnosis
A Data-Driven Medical Age
The GIGABYTE G-series server and Myelintek MLSteam suite provide powerful computing performance through a user-friendly GUI. Myelintek's MLSteam software suite integrates driver, libraries, frameworks, openstack and containers, and GUI UI. The solution offers an easy-to-use environment for healthcare professionals in data set management, deep learning training job management, training model analysis and real-time system monitoring. This GIGABYTE server packed with Myelinke’s MLSteam can effectively implement artificial intelligence in medical diagnostics from Pathology work to MRI, among others.
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.
GIGABYTE's DNN Training Appliance combines powerful computing performance together with a user-friendly GUI, providing DNN developers an easy to use environment to conduct dataset management, training jobs management, real time system environment monitoring and model analysis.
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.
The healthcare system is unique and its technology infrastructure is usually old, inaccurate, and difficult to use. This is why we have been trying to introduce the technology into the field since artificial intelligence in medicine began to gain attention in early 2010.
Is applying AI to medicine a new attempt?
No. The first problem-solving program, Dendral, was introduced in the 1960s as the basis of the later system MYCIN, which is considered to be one of the most important early applications of AI in medicine. However, MYCIN and other systems (such as INTERNIST-1 and CASNET) were not routinely used by practitioners.
Why use on-premise AI system for medicine, how is it different from public cloud platforms?
The solutions provided by GIGABYTE and Myelintek is an on-premise solution designed for medical personnel. Medical imaging needs to consider patient privacy, so uploading the data sets to the public cloud for machine learning is inappropriate.
Why do we need to bind software to hardware?
The solutions provided by GIGABYTE and Myelintek offer a comprehensive stack of AI capabilities that span the range of application, framework, management and hardware platform, to meet the depth and breadth of customers' needs. Furthermore, by binding the software to the hardware we can ensure compatibility and stability.
Where can I buy this DNN Training Appliance?
Customers can inquire through the sales contacts of GIGABYTE or Myelintek. GIGABYTE has sales offices in many countries around the world. Consumers can find the nearest distributor or system integrator contact information from GIGABYTE's website (https://www.gigabyte.com/Buy).
How do I get technical support and after services for the purchased DNN Training Appliance?
Myelintek will be the final shipper and provide technical support and after service to ensure the best product performance and user experience.
What is the warranty period for the DNN Training Appliance?
We provide a one year warranty for equipment manufacturing defects starting from the date of purchase of the appliance.