The Ovarian H&E Tumor Tissue Detection App is a pre-trained HALO AI masking classifier designed to segment tumor, stroma, necrosis/other, and glass across H&E-stained whole slide images. Outputs include the area of tissue falling into each of the four classes. The App can classify tissues within regions of interest, fields of view, or across entire images and can be combined with other with HALO® image analysis modules and other HALO AI Apps to derive further quantitative outputs and measurements. In the example shown below, the App is used to facilitate analysis of tumor-infiltrating lymphocytes. As an RUO product, the Ovarian H&E Tumor Tissue Detection App can be further trained, tuned, and improved by end users using their own images and data.
Intended Use
For Research Use Only and not intended for clinical diagnostic use.
What's Included?
- Ovarian H&E Tumor Tissue Detection App
Training Information
- The Ovarian H&E Tumor Tissue Detection App training was performed using 3,600+ annotations from hundreds of hematoxylin- and eosin-stained whole slide images of ovarian cancer.
- Tissues were obtained from multiple institutes using different scanner types to improve overall generalizability of cancer cell detection. Note, not all of the file formats shown under ‘File Format Compatibility’ tab were included in the training set.
Prerequisites
All pre-trained HALO AI Apps require an existing license of HALO and HALO AI upgraded to version 4.0.5.
File formats supported by the HALO image analysis platform:
- Non-proprietary (JPG, TIF, OME.TIFF)
- Nikon (ND2)
- 3D Histech (MRXS)
- Akoya (QPTIFF, component TIFF)
- Olympus / Evident (VSI)
- Hamamatsu (NDPI, NDPIS)
- Aperio (SVS, AFI)
- Zeiss (CZI)
- Leica (SCN, LIF)
- Ventana (BIF)
- Philips (iSyntax, i2Syntax)
- KFBIO (KFB, KFBF)
- DICOM (DCM*)
*whole-slide images
Accelerate your AI Development
AI is a powerful tool in your image analysis toolbox, but AI development is time consuming and data intensive. Pre-trained using hundreds of images and training annotations, HALO AI Apps give users a jumpstart to accelerate AI development.
Refine with your Training Data
For most applications, HALO AI Apps will work right out-of-the-box, but we realize that it is impossible to test every application. Importantly, HALO AI Apps are ‘open’ and can be further trained by users to optimize and refine performance for specific applications and stains.
Complement your Expertise
HALO AI Apps are designed to handle time-consuming and tedious tasks and providing consistent, standardized measurements. You are free to apply your scientific expertise where it’s needed most – in the interpretation of data to make informed decisions.
Optimized for Generalizability and Flexibility
Having been trained and tested on tissues with variable staining from different scanners and with multi-institutional data, our HALO AI Apps are designed to achieve the highest level of generalizability right out-of-the-box, but with the flexibility to be trained further with your own data. Shown here, Ovarian H&E Tumor Tissue Detection App used out-of-the-box to detect tumor in tissues with different morphologies and stain intensities.
Seamlessly Integrate with other HALO AI Apps and HALO Image Analysis Modules
The Ovarian H&E Tumor Tissue Detection App can be used in conjunction with our Cell Phenotyper Apps or HALO analysis modules to select specific tissue class(es) for analysis. In the example shown here, the Ovarian H&E Tumor Tissue Detection App is used along with the Pan-Cancer H&E Lymphocyte Cell Detection App to quantify tumor infiltrating lymphocytes (TILs). Although not shown here, the HALO Spatial Analysis Module can be used to quantify lymphocytes at user defined distances along the tumor margin if these measurements are desired. An example is demonstrated using the HNSCC H&E Tumor Tissue Detection App found here.
Please note: HALO AI Apps and associated applications are intended for research use only. Please visit our Clinical Products page to discover clinical AI products deployable through our HALO AP® platform.
Free Proof-of-Concept Analysis
See HALO AI Apps in action on up to three of your images with a free proof-of-concept analysis.
Related HALO AI Apps
The Gastric H&E Tumor Tissue Detection App is a pre-trained HALO AI masking classifier designed to segment tumor, stroma, necrosis/other, and glass areas across H&E-stained whole slide images of gastric cancer.
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The Non-Small Cell Lung Cancer (NSCLC) H&E Tumor Tissue Detection App is a pre-trained HALO AI masking classifier designed to segment tumor, stroma, necrosis/other, and glass area across H&E-stained whole slide images of NSCLC.
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The Head & Neck Squamous Cell Carcinoma (HNSCC) H&E Tumor Tissue Detection App is a pre-trained HALO AI masking classifier designed to segment tumor, stroma, necrosis/other, and glass area across H&E-stained whole slide HNSCC images.
Learn MoreUse the arrows above to view additional related AI apps
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