Breast HER2 AI standardizes precision scoring of HER2 IHC-stained breast cancer resections, excisions and biopsy samples.

The algorithm can be launched by a user directly in the viewer or configured to automatically run for every breast HER2 in Aperio HALO AP.

An image analysis heatmap mask is generated, denoting regions within the sample containing invasive breast cancer. 

Prior to this step, image analysis pre-processing excludes artifact and benign epithelial tissue.

The following metrics are calculated as outputs for each slide:

• Tumor Area
• Other Area
• % Tumor Area
• Classified Area

Breast HER2 AI generates an image mask segmenting cells within the tumor region, denoting the following cell classes: 

• Negative HER2 Cell: Blue
• 1+ HER2 Cell: Yellow
• 2+ HER2 Cell: Orange
• 3+ HER2 Cell: Red

Breast HER2 AI generates a histogram displaying the total number of cancer cells classified within the following categories: 

• HER2 0+ (Negative)
• HER2 1+
• HER2 2+
• HER2 3+

Breast HER2 AI generates the following metrics as output for the whole slide image: 

• HER2 Grade: Negative, Ultralow, Low, Positive
• HER2 Score: 0, 1+, 2+, 3+
• % HER2 Cells (0, 1+, 2+, 3+)
• HER 2 Cells (0, 1+, 2+, 3+)
• Total Cells