Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Fujifilm's Synapse 3D represents a cutting-edge visualization solution that has been crafted in conjunction with a variety of medical professionals, including radiologists, cardiologists, and surgeons, providing more than 50 applications designed to improve both the accuracy and efficiency of diagnoses. This platform features advanced server-side technology that accommodates both cloud and on-premise hosting, enabling sophisticated image analyses that aid in interpretation, reporting, and treatment planning while promoting effective clinical collaboration throughout the organization. It addresses specialty fields such as cardiology, pulmonology, oncology, urology, neurology, and gastroenterology, showcasing its versatility. The architecture of Synapse 3D is scalable, allowing for unlimited expansion, and its reliable workflows boost overall productivity while catering to extensive visualization requirements through specialized applications. The platform also includes native cardiology features that enhance cardiac care, and its AI-driven detection capabilities significantly enhance the accuracy and efficiency of interpretations. Additionally, Synapse 3D offers seamless integration with Fujifilm's Synapse Enterprise PACS, making it an invaluable resource for healthcare providers seeking to optimize patient outcomes. With these comprehensive features, it stands to revolutionize the way medical imaging is approached in clinical settings.
Description
Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
PyTorch
No
Synapse PACS
Yes
TensorFlow
No
Integrations
Amazon Web Services (AWS)
Yes
PyTorch
Yes
Synapse PACS
No
TensorFlow
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
FUJIFILM Healthcare Americas Corporation
Country
United States
Website
healthcaresolutions-us.fujifilm.com/products/enterprise-imaging/synapse-3d/
Vendor Details
Company Name
Habana Labs
Founded
2016
Country
Israel
Website
habana.ai/training-software/
Product Features
Medical Imaging
Automated Routing
No
Comparison View
No
Compliance Management
No
Data Import / Export
No
Diagnostic Reporting
No
Image Analytics
No
Treatment Planning
No
Workflow Management
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No