DeepQ AI Platform
DeepQ AI Platform
  • 👋Welcome to DeepQ AI Platform!
  • Overview
    • 💡What is DeepQ AI Platform?
    • ✨Our Features
    • 🎁Whats new?
  • Product Guides
    • 👁️‍🗨️Navigation
      • 🧱Modules
      • 👩‍🏫User Profile
    • 📐DeepCap (Image Annotation Module)
      • 🖼️Dataset(s)
      • 📝Annotation Projects
      • 🖌️Annotation Jobs
    • 🖥️AI Training
      • 🖼️Dataset(s)
      • ⚙️Training Tasks
      • 🧠Models
  • Use Cases
    • 🧑‍🤝‍🧑Roles & Plans
    • ⬆️Upload & Manage Image Data
      • Data Formats
      • Combine Datasets
    • 👨‍🏫Create & Run Annotation Project
      • Create Annotation Project
        • Annotation Quality Control
      • Manage/View Annotation Project
      • Advanced Tips
    • 🧑‍⚕️Annotate/Review Images
      • Basic Annotation
      • Advanced Annotation Tips
    • 👨‍🔬Train/Test AI Model
      • Create Training Task
        • General Training
        • Specialized Training
        • Existing Model Retraining
      • Manage/View Training Task
        • Training Insight Reports
      • View/Test Models
        • Inference Insight Reports
      • Advanced Tips
  • Tutorial Videos
    • 🛠️Basic operations
    • 🔩Advanced Operations
  • Misc
    • ⁉️Troubleshooting & FAQs
    • 📔Changelogs
      • V3.0
      • V3.0.2.1
    • 📖Legal Documents
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On this page
  • 1. No-Code Environment
  • 2. Learn, Develop, Use AI all in one place
  • 3. Medical application focused
  1. Overview

Our Features

PreviousWhat is DeepQ AI Platform?NextWhats new?

Last updated 1 year ago

1. No-Code Environment

DeepQ AI Platform prioritizes accessibility, enabling individuals with diverse backgrounds to leverage the potential of deep learning without the need for programming expertise. The platform offers an intuitive point-and-click interface, pre-configured convolution neural networks, and visualizations, ensuring that users can effortlessly annotate images and train powerful models for various medical applications.

With DeepQ AI Platform, the focus is on democratizing AI, making advanced machine learning accessible to everyone from business professionals to enthusiasts, fostering a new era of innovation where creativity and problem-solving take center stage.


2. Learn, Develop, Use AI all in one place

The DeepQ AI platform stands as an exceptional hub for users keen on advancing medical imaging AI applications. It offers a comprehensive suite of tools and resources that cater to every stage of the development process, making it an ideal space for both beginners and seasoned practitioners in the field.

DeepQ AI platform's holistic approach not only allows users to create sophisticated AI models for medical imaging but also empowers them to comprehend the underlying principles, fostering a deeper understanding of AI's role in healthcare. This synthesis of development, education, and application within a single platform streamlines the journey for users, facilitating the transformation of cutting-edge AI research into tangible solutions for enhancing medical imaging diagnostics and patient care.


3. Medical application focused

The DeepQ AI platform is meticulously designed with a core focus on medical applications, embedding specific features and functions tailored to the unique demands of the healthcare domain. Its architecture is primed to handle sensitive medical data securely, adhering to stringent privacy regulations like ISO27001 & 27799, ensuring utmost confidentiality and compliance.

Within the platform, specialized tools cater to medical data management, enabling efficient handling, preprocessing, and analysis of diverse medical datasets encompassing different image modalities. These tools are engineered to assist in the cleaning, normalization, and augmentation of medical data, crucial for training robust AI models.

Overall, DeepQ AI platform's features and functions are intricately woven with a deep understanding of medical intricacies and requirements. By placing medical applications at the forefront, it empowers healthcare professionals to leverage AI effectively, promoting enhanced diagnostics, personalized treatments, and improved patient care while upholding the highest standards of safety and ethical use of AI in medicine.\

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