ECP 2022 Final Programme

Poster Sessions a Sunday 84 Sunday, 4 Sept PS-03 PS-03 Poster Session Poster Session IT in Pathology / Compuational Pathology Symposium Chairs: Gieri Cathomas, Switzerland Rainer Grobholz, Switzerland 001 MarrowQuant 2.0: clinical application of a user-friendly digital hematopathology tool for human bone marrow trephine biopsies Rita Sarkis, Switzerland O. Burri, C. Royer-Chardon, S. Blum, F. Schyrr, M. Costanza, S. Sherix, C. Bárcena, B. Bisig, V. Nardi, R. Sarro, O. Spertini, S. Blum, M. Weigert, A. Seitz, B. Deplancke, L. de Leval, O. Naveiras 002 Convolutional neural network-based algorithm for the detection and quantifi- cation of the components of the histologic grading of breast ductal adenocarcinoma – the first results Gheorghe-Emilian Olteanu, Romania D. Kumar, M. Köteles, I. Mihai 003 Refining pre-analytic deficiency reporting and capture in the anatomical pathology laboratory: a quality improvement initiative Tra Truong, Canada P. Roopchand, T. Jordan, Z. Ghorab, E. Slodkowska, M. Downes 004 NLP in diagnostic texts from nephro- pathology Cleo-Aron Weis, Germany M. Legnar 006 A multi-feature AI solution for diagnosis support in gastric biopsies: a multi-site clinical study Judith Sandbank, Israel J. Calvo, A. Nudelman, T. Garcia, E. Lanteri, J. Reyre, I. Laouar, B. Terris, M. Montagne, C. Rancati, M. Maklakovski, A. Albrecht Shach, A. Arad, G. Sebag, R. Mikulinsky, T. Amit, I. Gross, M. Grinwald, C. Linhart, M. Vecsler 008 Computer aided iron quantification on liver biopsy whole-slide images Davide Panzeri, Italy R. Scodellaro, G. Chirico, C. Lancellotti, L. Di Tommaso, L. Sironi 009 AI-aided assessment of HER2 status in primary and metastatic breast carcinoma Christiane Palm, Switzerland C. Connolly, R. Masser, B. Padberg Sgier, E. Diamantis Karamitopoulou, B. Bode, M. Tinguely Kovarik 010 Evaluation of Ki67 by image-analysis-en- hanced quantitative digital pathology Maximilian Joshua Krämer, Germany B. Sinn, P. Jank, A. Grass, A. Litmeyer, M. Untch, D. Gerber, A. Schneeweiss, K. Saeger, M. Gleitsmann, J. Furlanetto, S. von Gerlach, B. Felder, A. Ramaswamy, S. Loibl, C. Denkert, W. Schmitt 011 Leveraging deep learning-based mitosis detection models for supporting auto- mated breast cancer grading Konstanty Korski, Switzerland K. Badowski, X. Li, Y. Nie, S. Abbasi- Sureshjani 012 Computer-aided algorithm and 3D imaging technology are sensitive methods in the diagnosis of HER2 expression-low breast cancers Yi-Hsuan Lee, Taiwan Y. Hsieh, S. Chang, Y. Chen, Y. Lin, Y. Lin 013 Differential diagnosis of Crohn’s disease and Ulcerative Colitis with deep learning based on hyperspectral infrared images Frederik Großerüschkamp, Germany T. Arto, T. Müller, A. Mosig, M. Neurath, S. Zundler, K. Gerwert 014 Generalisation of deep learning for breast cancer metastasis detection Sofia Jarkman, Sweden M. Karlberg, M. Pocevičiūtė, A. Bodén, P. Bándi, G. Litjens, C. Lundström, D. Treanor, J. van der Laak