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Oncotopix Discovery deep learning as a standard analysis method for digital pathology images



Published
Presented By:
Fabian Schneider, Ph.D.
David Mason, PhD

Speaker Biography:
Dr. Fabian Schneider is part of Visiopharm’s R&D and Product Management team, responsible for phenotyping products as well as service projects for custom APP development. Fabian has over 10 years of international experience in cancer biology and immuno-oncology, working in academic research labs, clinical research teams and computational pathology groups in both academia and biopharma. Fabian received his Dr phil. nat. in Cell Biology in 2011 from the Johan Wolfgang Goethe University Frankfurt, Germany.
Dave Mason is a Technical Specialist in Image Analysis supporting Visiopharm’s UK and European Sales team. Trained as a Cell Biologist and Microbiologist he has spent over a decade in Academia specializing in Light Microscopy and Digital Image Analysis.

Webinar:
Oncotopix Discovery: deep learning as a standard analysis method for digital pathology images

Webinar Abstract:
Easy-to-use AI-based deep learning is now integrated as the standard analysis methodology in our best-in-class analysis software. Designed for anyone, it allows tissue-based researchers to tackle both simple and complex datasets across a wide variety of applications. In the past, only image analysis experts could analyse complex tissues. Our new analysis packages include powerful pre-trained nuclei segmentation algorithms suitable for brightfield and fluorescence applications which can be further tuned for even more specificity, and deep-learning-based tissue segmentation to find tissues of interest, exclude artifacts, and enable scoring/counting within specific tissue compartments. Now, anyone with the understanding of tissue morphology can train an AI-based deep learning network to get accurate and reproducible data, making it easy to generate reliable quantitative results needed for breakthrough discoveries and publications.


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