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Description
Enhance intricate image evaluation beyond the limitations of human perception by facilitating the automatic detection and classification of structural patterns. Improve the efficiency and quality of image-based workflows, while augmenting visual assessments through objective and validated methodologies. This management tool enables the generation of high-quality diagnoses through peer-reviewed initiatives led by medical professionals, serving as valuable training data for machine learning applications. Our solutions are designed as cloud-ready AI-as-a-Service offerings and are also available as libraries for seamless integration with imaging devices and diagnostic software. The first product has received MDD (EU/CE) medical certification, laying the groundwork for future products and various certification types, including MDR, FDA, and NPMA. We offer customer-specific modules upon request, ensuring adaptability across different modalities, domains, and dimensionalities, making our technology applicable to both 2D formats, such as x-ray and pupillography, as well as 3D and 4D volumetric images like MRI, fMRI, and OCT. Moreover, our AI technology assists dental and orthodontic professionals in their daily practices by performing automatic analyses, ultimately enhancing patient care and operational efficiency. This innovative approach not only streamlines workflows but also empowers practitioners with more accurate data for decision-making.
Description
Scikit-image is an extensive suite of algorithms designed for image processing tasks. It is provided at no cost and without restrictions. Our commitment to quality is reflected in our peer-reviewed code, developed by a dedicated community of volunteers. This library offers a flexible array of image processing functionalities in Python. The development process is highly collaborative, with contributions from anyone interested in enhancing the library. Scikit-image strives to serve as the definitive library for scientific image analysis within the Python ecosystem. We focus on ease of use and straightforward installation to facilitate adoption. Moreover, we are judicious about incorporating new dependencies, sometimes removing existing ones or making them optional based on necessity. Each function in our API comes with comprehensive docstrings that clearly define expected inputs and outputs. Furthermore, arguments that share conceptual similarities are consistently named and positioned within function signatures. Our test coverage is nearly 100%, and every piece of code is scrutinized by at least two core developers prior to its integration into the library, ensuring robust quality control. Overall, scikit-image is committed to fostering a rich environment for scientific image analysis and ongoing community engagement.
API Access
Has API
API Access
Has API
Integrations
Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Yamak.ai
Yandex Data Proc
ZenML
Integrations
Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Yamak.ai
Yandex Data Proc
ZenML
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
CellmatiQ
Country
Germany
Website
cellmatiq.com
Vendor Details
Company Name
scikit-image
Country
United States
Website
scikit-image.org
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
