VoxelX Create A Platform DICOM Online To Simulate Study Medicine
Radiology is a science that uses medical imaging to diagnose and sometimes treat diseases in the body. The various imaging techniques such as x-ray radiography, ultrasound, computed tomography (CT), nuclear medicine, including positron emission tomography (PET) and magnetic resonance imaging (MRI) is used to diagnose and/or treat disease. Intervensional Radiology is the performance of medical procedures or usually minimally invasive technology with a guide that is capable of showing the real state of affairs.
Acquisition of medical images is usually done by the radiografer, often known as an expert Radiology Technology. The Diagnostic Radiologist, a physician who is specially trained, then interpreted or read the image and produce a report of findings and impressions or their diagnosis. In some places, a Radiographer, an radiografer Reporting with advanced training, can also interpret the basic images and then reported to the doctor for diagnosis.
VoxelX's mission is to revolutionize the multidisciplinary learning by creating DICOM-online platform to simulate medical learning. Team VoxelX is one of the few that works since 2013 in implementing the DICOM medical images in learning-particularly in the field of Radiology. Blockchain technology used in the project will be able to design the algorithm in Exchange for paying the radiologist for every shipment is small and update content and images platform with an excess of transparent and cost-effective as well as decentralized. In terms of funding for the power, VoxelX will launch a token called GREY and will be used mainly to finance construction of DICOM-Platform content,
What is a DICOM (Digital Imaging and Communications in Medicine)? Following the standard penjelasaannya to save and send medical images allows the integration of medical imaging devices such as scanners, servers, workstations, printers, Center hardware chain and archiving images and communication systems (PACS) from several manufacturers. This technology has been used extensively by the hospital and made the breakthrough for smaller applications like dentists and doctors offices so that the more ease and make the accuracy of the results obtained.
You could try looking at and understanding the DICOM Betha versions of this tool online with the LINK http://www.voxelx.com/which will be a large variety of menus for scientific learning relating to Radiology which certainly will be a lot of get vast knowledge, please register on this site and feel its benefits.
An overview of DICOM Tools version BETHA
- The Name Token: GRAY
- Total: 10 billion supply GRAY
- The Type Of Token: Ethereum ERC20
- Apportionment Percentage Token
- Token sales: 45%
- Foundation VoxelX: 25%
- Investors and the initial Bonus: 10%
- Team and co-founder of VoxelX: 20%
- Build Content
Platform with pay community VoxelX with GREY recirculating
- Development Platform
- Marketing
- Legal reserves and contingencies
If you are interested in making a purchase Token, you can open the LINK https://voxelx.io/whitelisting-guide/there is a way or instructions how to get the Token and the token in storage Wallet in suggest.
For More Information:
Website: https://voxelx.io/
Bitcointalk Thread: https://bitcointalk.org/index.php?topic=3242811
Facebook: https://www.facebook.com/voxelx/
Twitter: https://twitter.com/Voxel_X
Telegram: https://t.me/voxelx
Author : Ghaniindependen
My Profile Btt :
My ETH wallet :
0x1a505ccE73B679996E68Bf954334c098f21F1dDB
Towards a single natural solution for global illumination:
BalasHapus- GPUs 15 TFLOPS with improved branching
- Denoising using AI for real-time path-tracing
- Optimized early ray termination
- Voxel representation of geometry
- Auto Reflections
- Auto Shadows
- Auto Ambient Occlusions
Realism is what drives GPU advancement.
Imagine GPUs use outside of cinematic and gaming use cases.
LifeVoxel.AI has built a visualization and AI platform using GPUs in the cloud used in diagnostic-quality views for mission-critical care just using a web browser. This patented innovation is recognized by Frost and Sullivan, NSF and NIH (13 patents).
RIS PACS
RIS PACS software