Posters on the topic "Digital Pathology and neurooncology methods"

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  • PS7-NO-A65
Leveraging attention-based convolutional neural networks for meningioma classification in computational histopathology
  • Jannik Sehring (Giessen, DE)
  • PS7-NO-A66
Morphology-based molecular classification of spinal cord ependymomas using deep neural networks
  • PS7-NO-A67
A deep learning-approach to infer somatic alterations in glioma using digital tissue slides
  • PS7-NO-A68
brAIn App – a versatile smartphone app to annotate histopathological images for enhanced AI training and medical education
  • PS7-NO-A69
Crowd powered neuropathology annotations for machine learning algorithms – a Citizen Science pilot study focused on the Hispanic community
  • PS7-NO-A70
Rapid DNA methylation-based classification of pediatric brain tumours from ultrasonic aspirate specimens
  • PS7-NO-A71
Outsourcing of molecular testing for CNS tumors in the era of integrated molecular diagnosis – an experience from King Hussein Cancer Center
  • PS7-NO-A72
Comparing p16 and MTAP loss of expression in detecting CDKN2A homozygous deletion in pleomorphic xanthoastrocytoma