Posters

Select the posters you would like to receive and fill in the form at the end of the page. You will receive an E-Mail with all selected downloads.

Detecting Lymph Node Metastases in Breast Cancer Using Deep Learning

Jeppe Thagaard
DTU Compute Department of Applied Mathematics and Computer Science

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Utilizing Image Analysis to Characterize an 8-plex Immunofluorescence Immune Checkpoint Biomarker Panel within the Tumor Tissue Microenvironment

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Current Tobacco Use is Associated with Decreased IFN-γ Signaling and PD-L1 Expression in HPV Positive Oropharyngeal Cancer

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Histological Scoring of Nonalcoholic Fatty Liver Disease using Deep Learning

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Automated Analysis of p53 Immunohistochemistry in Patients with Barrett’s Esophagus Predicts Disease Progression to Advanced Neoplasia

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AI Deep Learning Tumour Detection Directly on ER, PR and Ki-67 IHC Slides Yields a Single Slide Automated Workflow with High Concordance to Manual Scoring

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Choice of Reference for Automatic Quality Assessment of the Estrogen Receptor

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Automatic image analysis of Sentinel Nodes in Breast cancer

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Automated Ki-67 assessment: From invasive tumor component detection to Ki-67 quantification in hot spots

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