D-PATH AI IHC QUANTIFICATION

• 93.00%

  Accuracy Boost for
  Junior Pathologists ¹

• 22.13%

  Inconsistency
  Reduced ¹

• 94.00%

  High
  Accuracy ¹

• 93.00%

  Accuracy in
  Heterogeneous Cases ¹

• 

  Fast and accurate

  The algorithm can process 100 million pixels within 5 seconds，and the analysis can be completed within 1 minute The average of multiple modules is as high as 95%

• 

  Extensive

  The Al algorithm is robust and stable. It is suitable for most reagents and preparation methods, and is compatible with multiple types of scanners, so you can use it as you like.

• 

  Segmenta-tion and positioning

  Accurately obtain cell positioning without fear of multi-layer stacking of cells. According to the nuclear
  envelope boundary, single cells can be accurately segmented, and the analysis is more in place.

• 

  Imageenhance-ment

  For low-contrast pathological images, noise reduction, signal enhancement, and sharpening can be automatically performed to facilitate subsequent algorithm analysis.

HER-2 IHC QUANTIFICATION ASSISTANCE PLATFORM

About it

According to ASCO guidelines, the system analyzes the HER-2 WSI of breast cancer, excluding ductal carcinoma in situ. It quantifies and categorizes tumor cells based on membrane integrity and varying levels of positive expression, calculating the number and percentage of each type of positive tumor cell. This provides an objective diagnostic basis for HER2-ultralow classification.

Validation was conducted using routine IHC HER-2 diagnostic slides from leading hospitals in China, compared with pathologists, the overall AI results are as follows:

• Total Concordance 92%
• IHC0 Concordance 96%
• IHC1+ Concordance 89%

Effective tools

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Real-time
consultation

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Customized
model

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Dual-screen
comparison

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Dynamic
Tracking