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
Utilizing Image Analysis to Characterize an 8-plex Immunofluorescence Immune Checkpoint Biomarker Panel within the Tumor Tissue Microenvironment
Current Tobacco Use is Associated with Decreased IFN-γ Signaling and PD-L1 Expression in HPV Positive Oropharyngeal Cancer
Histological Scoring of Nonalcoholic Fatty Liver Disease using Deep Learning
Automated Analysis of p53 Immunohistochemistry in Patients with Barrett’s Esophagus Predicts Disease Progression to Advanced Neoplasia
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
Choice of Reference for Automatic Quality Assessment of the Estrogen Receptor
Automatic Image Analysis of Sentinel Nodes in Breast Cancer
Automated Ki-67 Assessment: From Invasive Tumor Component Detection to Ki-67 Quantification in Hot Spots