
| Company Name | Mindpeak GmbH |
| Founded | 2018 |
| Head office | Hamburg, Germany |
| Website | https://mindpeak.ai |
| Contact |
Cancer detection, Cell classification, Tissue segmentation
Mindpeak Breast ER/PR is intended for in vitro diagnostic use as an aid to the pathologist in the assessment of samples from human breast cancer patients.
Cancer detection, Cell classification, HER2 score, Tissue segmentation
Mindpeak Breast HER2 RoI is a software for automated image analysis of digital histopathology images of human invasive mamma carcinoma tissue samples.
Cancer detection, Cell classification, Proliferation Score, Tissue segmentation
Mindpeak Breast Ki-67 4R is a software for automated analysis of digital histopathology images of human invasive mamma carcinoma tissue samples. It supports the analysis of digital images from scanned, Ki-67 stained samples of invasive ductal and lobular carcinoma. The software detects and classifies IHC-stained tumor cells in whole slide images, identifying up to four tumor regions of interest using the global scoring method. Tumor cells are classified as either not-stained (tumor negative) or stained (tumor positive).
Cancer detection, Cell classification, Proliferation Score, Tissue segmentation
Software for automated analysis of digital histopathology images of invasive mamma carcinoma tissue samples. It supports the analysis of digital images from scanned, Ki-67 stained samples of invasive ductal and lobular carcinoma. The software detects and classifies IHC-stained tumor cells in whole slide image, identifies one or several tumor regions according to the hotspot method, and provides a proliferation score. Tumor cells are classified as not-stained (tumor negative) or stained (tumor positive). Pathologist has to review the results and is responsible for the final diagnosis.
Cancer detection, Cell classification, Proliferation Score, Tissue segmentation
Mindpeak Breast Ki-67 RoI is software for automated analysis of digital histopathology images of invasive mamma carcinoma. It analyzes scanned, fixed, Ki-67 stained samples of invasive ductal and lobular carcinoma. The software detects and classifies IHC-stained tumor cells within predefined regions of interest (ROI) as not-stained (negative) or stained (positive). It provides a proliferation score based on the proportion of tumor-positive cells. Images must meet pre-analytical quality standards. Results are automated but require manual review, adjustment, and final diagnosis by a pathologist.
Cancer detection, Cell classification, Tissue segmentation, TPS score
Mindpeak Lung (NSCLC) PD-L1 (SP263) RoI is software for automated analysis of digital histopathology images of non-small cell lung cancer (NSCLC) tissue samples. It supports the analysis of scanned, PD-L1 stained NSCLC samples by detecting and classifying IHC-stained tumor cells within predefined regions of interest (ROI). Tumor cells are classified as not-stained (negative) or stained (positive), with a tumor proportion score (TPS) provided as the ratio of positive tumor cells to all tumor cells. Pathologists must review, adjust, and validate results, and decide on the final diagnosis.