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Improve Cancer Diagnosis with Digital Pathology Image Analysis

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  • Improve Cancer Diagnosis with Digital Pathology Image Analysis

    Mindpeak has developed tools that analyze immunohistochemically stained tissue samples by immediately detecting, classifying, and quantifying breast cancer cells. Crosscope Dx, a workflow integrated vendor-agnostic digital pathology platform will use Mindpeak's CE-marked BreastIHC and follow-on products each as a supplementary module within the workflow software which will enable pathologists with diagnostics support in the evaluation of histology images or image sections. With this strategic partnership, Crosscope will be the authorized partner of Mindpeak for India and Emerging Markets.

    "This collaboration will be instrumental in leveraging the strengths of both the companies to provide end-to-end solutions for all kinds of Histopathology workflows, thereby providing best-in-class AI tools seamlessly integrated into a single platform," said Crosscope CEO - Dr. Jayendra Shinde. This partnership enables the integration of image analysis solutions for ER, PR, and Ki-67 IHC stainings into Crosscope that will immensely support pathologists to improve the efficiency of their pathology labs and provide a timely diagnosis for their patients ultimately impacting their treatment and outcomes.

    "With our AI software BreastIHC now also available via the Crosscope platform in the USA, Europe, and e.g. India we are making a significant contribution to the AI-adoption of pathology", explains Felix Faber, CEO of Mindpeak. Crosscope, as a leading AI software provider in digital pathology, wants to ensure that Mindpeak's cutting-edge technology is available for the pathology community to enable digital transformation in the pathology laboratories in India & emerging markets, USA and Europe.
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    Digital pathology image analysis has become an essential tool for the diagnosis of cancer. This technology is able to provide detailed images of tissues and organs, which can help clinicians identify abnormalities and diagnose cancer. By using digital pathology, clinicians are able to identify changes in the morphology and function of tissues, which can lead to a more accurate diagnosis.

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