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Nail | Detection of fungus hypha | PAS

The first commercial dermatopathology AI solution to detect nail fungus hypha

The first-ever commercially available dermatopathology AI solution assists experts by detecting nail fungus hypha on whole slide images without the need for manual fine-tuning. Mindpeak Onychomycosis AI categorises cases depending on the detection status. Its reliability is on par with human experts. It also supports most scanners and microscope cameras and can easily be integrated into existing software.
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Detailed information on Mindpeak Onychomycosis AI

Quantification/Detection output variables

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Hyphae structures are detected and visualized; whole-slide images are classified into positive (with hyphae) and negative.

Workflow

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Whole-slide images are preprocessed by Mindpeak Onychomycosis AI and the cases are triaged correspondingly.

When the pathologist opens a case, suspicious areas with detected hyphae are presented. The pathologist reviews them and provides the final diagnosis according to her/his assessment.




Architectural model

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Proprietary AI model for fungus detection based on convolutional neural networks.

System requirements

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Standard personal working machine. Minimum requirements: 32 bit Processor Intel Core i5 or better; 4 GB RAM.



File format capability

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All major whole slide image formats: (tif, mrxs, etc.), png, jpg/jpeg.

Keywords

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Nail, Fungus detection, Onychomycosis, Fungus Hyphae, PAS, Deep learning, Artificial Intelligence, Image analysis.

Find out more about our Onychomycosis AIGet in touch to find out more

Accurate and reliable nail fungus hypha detection

Detection

The first commercial dermatopathology AI solution to detect nail fungus hypha

Accurate Results

Mindpeak Onychomycosis AI reliability is on par with human experts.

Easy Integration

Mindpeak Onychomycosis AI supports most scanners and microscope cameras and can easily be integrated into existing software.

Mindpeak product showing nail fungus detection on monitor

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