About DeePathology STUDIO
DeePathology STUDIO is a medical imaging software from DeePathology [designed for pathology analysis]. It combines advanced image processing, deep learning algorithms, and a user-friendly interface so pathologists can analyze tissue samples more effectively. This software aids in the accurate detection of anomalies and automates routine tasks, increasing efficiency. DeePathology STUDIO also supports collaborative work, allowing multiple users to share insights and findings in real-time. Key capabilities: image segmentation classification tools annotation features diagnostic support reporting functionalities Best for: pathologists and medical researchers that need a reliable solution for digital pathology analysis.
DeePathology STUDIO by DeePathology is a cutting-edge decision support software designed specifically for professionals in the pathology and medical research fields. The primary aim of this software is to provide an intuitive, AI-powered platform for creating, training, and deploying deep learning models tailored to digital pathology applications. Whether for cancer detection, tissue classification, or custom diagnostic workflows, the software empowers users such as pathologists, biomedical scientists, and computational biologists to automate and enhance diagnostic processes with precision. One of its standout features is its ability to allow users to build their own AI models without needing to write a single line of code, making deep learning more accessible to a non-programmer audience in healthcare and life sciences. The user interface of DeePathology STUDIO is designed with simplicity and clarity in mind, accommodating users who may not be well-versed in technical AI environments. The dashboard presents a clean layout where image data, annotations, model parameters, and results are neatly organized and accessible.
Pros & Cons
- +Empowers Pathologists: Allows pathologists to create AI without coding, accelerating research and diagnostics.
- +Fast & Efficient: Rapid AI creation (PoC in 5 min), lightning-fast annotation, and optimized for small data.
- +High Data Security: Local installation ensures sensitive data remains under user control.
- +Versatile: Supports multiple analysis modes (objects, cells, regions, tiles) and multi-layered solutions.
- −Specialized Niche: Highly focused on pathology image analysis, limiting applicability for other fields.
- −Hardware Requirements: Running powerful AI locally likely requires a high-performance computer.
- −Learning Curve: While no coding is needed, users still need to understand the "ping pong workflow" and AI training concepts.
- −Vendor Dependence: Reliance on DeePathology for updates, support, and core AI building blocks.
Features
Key features
- DIY AI Creation for Pathologists (No Coding)
- Empowers pathologists and researchers to develop custom AI algorithms for image analysis directly, eliminating the need for programming skills.
- State-of-the-Art Neural Networks & Deep Learning
- Leverages advanced AI technologies to ensure powerful solutions can be created quickly with minimal data requirements.
- Lightning-Fast Annotation with Active Learning
- Utilizes an innovative "Deep Interactive Online Active Learning" engine and "Annotation magic" gallery to dramatically speed up the annotation of thousands of cells/objects by suggesting the most important examples.
- High Data Security (Local Installation)
- Installed on the user's local computer or laptop, ensuring full control over sensitive data and preventing it from being sent to remote servers.
- Versatile and Flexible Analysis Modes
- Supports various analysis types including object detection and classification, cell detection and classification, region segmentation, and tile classification, with the ability to combine modes for multi-layered solutions.
Additional features
- Interactive Platform
- Provides an interactive environment for AI model creation and analysis.
- Proof of Concept (PoC) in Minutes
- Claims to enable creation of PoCs for most problems in as little as 5 minutes.
- "Ping Pong" Workflow
- A cyclical process of Annotate, Interact (correcting mistakes, adding new data), and Analyze (applying algorithms to new slides).
- Object Mode
- Object Segmentation
- Creates algorithms to detect object boundaries and classify them into unlimited categories.
- Optimized for Small Data
- Can get started with as few as 4-6 annotated examples per category.
- Annotation Magic (Object Gallery)
- Finds and displays objects, suggesting important examples for annotation to create high-quality, balanced datasets.
- Cells Mode
- Cell Detection and Classification
- Creates algorithms to detect and classify different types of cells and nuclei, even in challenging real-life scenarios.
- Powerful Metrics
- Monitors algorithm performance in real-time with basic validation analytics per epoch.
- Annotation Magic (Cell Gallery/AI Mode)
- Helps annotate thousands of cells quickly by suggesting important cells and leveraging AI for efficient data collection.
- Regions Mode
- Region Segmentation
- Creates algorithms for detecting different region types (e.g., tissues, tumor vs. healthy tissue).
- Multilayered Analyses
- Allows combining with other modes (e.g., cell counting within specific regions).
- Tiles Mode
- Tile Classification
- Quickly annotates small image squares with single clicks.
- Optimized for Speed (Tile Gallery)
- Speeds up tile annotation, allowing thousands of tiles from different slides to be annotated in minutes.
- Highly Configurable
- Offers many settings and modes for adapting to challenging scenarios, including controlling magnification, tissue detection, and algorithm sensitivities.
- API for Super Users
- Provides an Application Programming Interface to run created algorithms from code, enabling integration with analytic pipelines (e.g., predicting patient outcomes) and large-scale deployment on High-Performance Computing (HPC).
- Countless Pathology Use Cases
- Demonstrates applicability across various staining types (H&E, IHC, other stains) for diverse analyses like:
- Quantifying tumor infiltrating lymphocytes (TILs), Ki67 positive cells, glia cells, cells in ISH stains.
- Segmenting tumor vs. healthy tissue, positive/negative regions in immunostains, growth plate, lung tissue.
- Detecting glandular structures (glomeruli, acini), mitotic figures, red blood cells, granulated/degranulated cells, lymphocyte infiltration.
- Detecting beta-amyloid plaques, Helicobacter pylori, Mycobacterium tuberculosis.
Pricing
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About DeePathology STUDIO
DeePathology STUDIO is a medical imaging software from DeePathology [designed for pathology analysis]. It combines advanced image processing, deep learning algorithms, and a user-friendly interface so pathologists can analyze tissue samples more effectively. This software aids in the accurate detection of anomalies and automates routine tasks, increasing efficiency. DeePathology STUDIO also supports collaborative work, allowing multiple users to share insights and findings in real-time. Key capabilities: image segmentation classification tools annotation features diagnostic support reporting functionalities Best for: pathologists and medical researchers that need a reliable solution for digital pathology analysis.
DeePathology STUDIO Details
DeePathology STUDIO's In-App Market Place
Does DeePathology STUDIO have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (€), Gbp (£), Aud (A$), Cad (C$), Jpy (¥), Chf (Chf), Cny (¥), Inr (₹), Mxn (Mx$)
Pros & Cons
- Empowers Pathologists: Allows pathologists to create AI without coding, accelerating research and diagnostics.
- Fast & Efficient: Rapid AI creation (PoC in 5 min), lightning-fast annotation, and optimized for small data.
- High Data Security: Local installation ensures sensitive data remains under user control.
- Versatile: Supports multiple analysis modes (objects, cells, regions, tiles) and multi-layered solutions.
- Specialized Niche: Highly focused on pathology image analysis, limiting applicability for other fields.
- Hardware Requirements: Running powerful AI locally likely requires a high-performance computer.
- Learning Curve: While no coding is needed, users still need to understand the "ping pong workflow" and AI training concepts.
- Vendor Dependence: Reliance on DeePathology for updates, support, and core AI building blocks.
DeePathology STUDIO's Support Options
Email Address
info@deepathology.aiContact
+972-9-7411561DeePathology STUDIO's Alternatives
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