ECP 2022 Final Programme

Poster Sessions a Sunday 85 ECP 2022 Basel Sunday, 4 Sept PS-03 015 The use of digital pathology and artificial intelligence in the assessment of multiple myeloma Katherine Sheehan, Ireland M. McCabe, S. Glavey 016 Optimization of automated tissue classification in histopathological images: use of a deep transfer learning approach on a pancreatic cancer cohort Lena Häberle, Germany R. Kronberg, M. Pfaus, H. Xu, K. Krings, M. Schlensog, T. Rau, A. Pandyra, K. Lang, I. Esposito, P. Lang 017 Inter-rater agreement of pathologists on determining cell-level PD-L1 status in non-small cell lung cancer Leander Van Eekelen, The Netherlands E. Munari, I. Girolami, A. Eccher, J. van der Laak, K. Grünberg, M. Looijen-Salamon, S. Vos, F. Ciompi 018 Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole-slide images Leander Van Eekelen, The Netherlands E. Munari, L. Dulce Meesters, G. Silva de Souza, M. Demirel-Andishmand, D. Zegers, M. Looijen-Salamon, S. Vos, F. Ciompi 019 Automated annotation of digital H&E/ SOX10 dual stains generates high-per- forming convolutional neural network for calculating tumour burden in H&E-stained cutaneous melanoma Patricia Switten Nielsen, Denmark J. Georgsen, M. Vinding, L. Østergaard, T. Steiniche 021 Collaborative web platform: lab organisa- tion, research and digital pathology practice Vitor Sousa, Portugal R. Almeida, V. Almeida, M. Reis Silva, R. Jesus, L. Bastião Silva, D. Gonzalez, T. Adão, J. Carias, C. Costa, L. Carvalho 022 Upconversion nanoparticles as labels for histopathological tissue evaluation Tim Nilsson, Sweden K. Krawczyk, M. Mickert, S. Andersson- Engels 023 Computer-assisted diagnosis of ear- ly-stage lung adenocarcinoma using deep learning Teodora-Elena Trandafir, The Netherlands J. Wolf, F. Akram, Y. Li, A. Dingemans, A. Stubbs, J. von der Thüsen 024 A novel machine learning pipeline to analyze unstained liver biopsies and automatically quantify tumour-related structures Riccardo Scodellaro, Italy D. Panzeri, E. Pagani, L. D’Alfonso, M. Bouzin, M. Collini, G. Chirico, D. Inverso, L. Sironi 025 Segmentation of anthracosis – a needed first step in digital analysis of lung tissue Philipp Zens, Switzerland E. Baumann, A. Janowczyk, M. Kreutzfeldt, D. Merkler, S. Berezowska 027 Deep learning neural networks for real-time discrimination between osteosarcoma and fracture callus on conventional histological (H&E) sections Dionysios Papachristou, Greece S. Stavropoulos, K. Gourdoupis, S. Georgopoulos, V. Plagianakos 028 Novel approach for adaptive colour normalisation based on tissue thickness and biological tissue type variability Jaya Jain, India P. Perugupalli, R. Gupta, D. Dodle, S. Krishna, V. Rao 029 Digital image analyses applied to HSIL cervical biopsies Ana Alves, Portugal V. Almeida, R. Almeida, M. Reis Silva, V. Sousa, L. Carvalho