Become a Forerunner in Digital Pathology and Find New Answers in Cancer Research
AI is a powerful tool for the visionary scientist
The capabilities have high-speed shifted in digital pathology with the latest advancements in deep learning image analysis algorithms.
State of the art deep learning technologies in digital image analysis software have developed extremely fast and are now capable of achieving a spectrum of results.
This is especially important in cancer research, where there are a lot of unknowns. The detailed data collected from image analysis algorithms can help describe the conditions of the tumor microenvironment, potentially revealing ground-breaking discoveries and better cancer diagnostics for the future.
The advancements mean that work can be shortened, to help produce cancer research data.
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AI is a powerful tool for the visionary scientist
A key to successful research is to have a tool that can support the research that you would like to do tomorrow.
The capacity to segment nuclei, automatically detect and create regions of interest (ROI), differentiate between cells based on structures (e.g., tumor cells verses immune infiltrate) in one AI image analysis software solution will help you to keep jumping those hurdles in your race to find answers.
The Visiopharm AI image analysis solution has been placed in the hands of leading research scientists.
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Source: Visiopharm
