12th Jun 2019
New York City, USA
Demystifying Deep Learning AI and Digital Pathology:
DEMOCRATIZING AI AND EMPOWERING THE PATHOLOGIST
Your one-stop workshop will help you to understand and deploy intelligent solutions with ‘Aiforia Create’ Deep Learning Pathology. With a hands on experience to ensure you are trained to achieve precise active annotations and understand how different annotation mistakes affect your results.
The hands-on part is run as a friendly competition and the lowest error rate walks away with a prize and bragging rights.
Join the discussion and share your thoughts and ideas with us and the invited guest speakers
Thomas Westerling-Bui, Ph.D. , Senior Scientist, Aiforia Inc
Digital Pathology for drug development in the age of unlimited analysis design possibilities
Automated analysis can improve precision and recall, as well as reduce inter- and intra-operator differences. This leads to increased effect size and likelihood to get a measure of the true effect size of an experimental drug treatment.
Gillian Beamer, Assistant Professor, Tufts University
End user developed Deep Learning algorithms for the analysis of Lung granulomas in experimental tuberculosis.
Exploring the utility of domain expert driven Deep Learning algorithms to study Host Response to virulent M. tuberculosis including algorithms to delineate and segment granuloma and necrosis in hematoxylin and eosin (H&E) stained lung tissue from M. tuberculosis-infected Diversity Outbred mice.
Peter Westcott, Postdoctoral fellow, Koch Institute for Integrative Cancer Research
Deep neural network for automatic histopathological analysis and grading of murine lung tumors
A demonstration that deep neural networks can be used for automated analysis and grading of preclinical models of lung cancer and an exploration of how this powerful technology has the potential to increase the throughput, sensitivity and reproducibility of hypothesis-driven studies of factors influencing tumor progression and immune response in mouse models of lung cancer.
371 7th Ave, New York, NY 10001, USA
Stewart’s high-energy Midtown location puts you at the crossroads of the city’s most iconic neighborhood districts- across from Pennsylvania Station and Madison Square Garden. You’ll be staying near Chelsea, just steps from Times Square and Fifth Avenue shopping.
Stewart Hotel makes every effort to meet your needs and make your stay just right. Our boutique hotel amenities and services are designed to provide a thoroughly relaxing experience in the city that doesn’t sleep. Feel free to indulge your senses to connect, relax, drink, eat, work, stay fit and experience New York City.