Image analysis and extraction of relevant data are major challenges in Digital Pathology. With the Keen Eye AI App Catalogue, you can explore which application is best for your project, according to the therapeutic area or image modality you are working on. These deep learning-based applications have been developed by Keen Eye's expert team of Data Scientists, in close collaboration with experienced pathologists. Our applications can be used in both Research and Clinical projects.
Explore our applications and access the power of deep learning!
Outputs: micro & macro-vacuolation, mean vesicle size, ballooning hepatocyte density
Outputs: fibrosis, junction branch analysis
Outputs: immune cells, immune cell foci, cell proximity within portal regions
Panel: CD3, CD4, CD8, CD68, PD-L1, FoxP3, Ki67 & CK. Outputs: spatial analysis, immune response
DAPI detection. Output: cell number and position
Biomarker classification: CD20. Outputs: cell phenotyping, spatial analysis
Biomarker classification: CD3, CD4, CD8. Outputs: cell phenotyping, spatial analysis
Biomarker classification: CD68. Output: cell phenotyping, spatial analysis
Biomarker detection: PD-L1, PD-1, Ki67, CASP3. Outputs: apoptosis, proliferative & inhibitory cells
Biomarker detection: cytokeratin. Outputs: tumor detection & segmentation
Define your own panel. Output: spatial analysis, t-SNE, cell infitration
Tumoral cell cluster segmentation. Output: tumor area
Biomarker detection: p53, p63. Output: H-score
Biomarker detection: CDH17, Trop2. Output: Segmentation, H-score
Biomarker detection: BIRC2. Output: H-score
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