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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
PyTorch
Synapse PACS
TensorFlow

Integrations

Amazon Web Services (AWS)
PyTorch
Synapse PACS
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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