Breast HER2 AI for Breast Cancer Sample Analysis

HER2 IHC digital slide (left) with Breast HER2 AI markup (right) identifying negative (blue), weak (yellow), moderate (orange), and strong (red) cells. Tumor boundary highlighted with red lines.

Breast HER2 AI

Developed by Indica Labs, the Breast HER2 AI solution leverages deep learning that standardizes scoring of HER2 in resections, excisions, or biopsies from primary invasive breast cancer samples. The algorithm reports quantitative results and markup images, including tumor detection, HER2 score, HER2 grade (including low and ultralow), and percentage positive cells.

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Breast HER2 AI is For Research Use Only and not intended for clinical diagnostic use. Breast HER2 AI accessed via the Aperio HALO AP image management system.

HER2 IHC-stained breast cancer

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Step 1: Breast HER2 IHC Image

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.

Breast HER2 AI tumor heatmap markup

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Step 2: Breast HER2 IHC Tumor Detection

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 markup

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Step 3: HER2 Cell Classification

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 histogram

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Results: Histogram

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 quantitative results

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Results: Quantitative

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

Breast HER2 AI in Aperio HALO AP Demonstration

Explore the future of pathology with the Breast HER2 AI app from Indica Labs. Breast HER2 AI seamlessly integrates within the Aperio HALO AP enterprise digital pathology platform to identify and score HER2 tumor cells in primary invasive breast cancer samples.

After selecting an image, view the IHC slide in the viewer and the Breast HER2 AI results. Results include overlays and quantitative results. The first set of overlays prepare the tissue for analysis by identifying areas of analyzable tissue. The next overlay identifies areas of tumor in the tissue. The final overlay identifies and classifies cells for HER2 positivity within the tumor area. Finally, quantitative results at a per slide level are displayed in the assay panel to the right.