ECP 2023 Final Programme

E-Posters 134 E-PS-08 004 Implementation of artificial intelligence assisted lymph node metastases detection for breast cancer Maschenka Balkenhol, The Netherlands G. Litjens, P. Bándi, K. Grünberg, J. van der Laak 005 Application of artificial intelligence in estab- lishing uveal melanoma prognosis Ahlem Bdioui, Tunisia F. Hamdaoui, A. Sghaier, O. Belkacem, N. Missaoui, S. Hmissa 006 Smart system for determining histological differentiation of prostate cancer biopsy using artificial intelligence techniques: from unsupervised to supervised learning Subrata Bhattacharjee, Korea Y. Hwang, N. Cho, D. Kim, H. Kim, H. Choi 007 Upregulation of TIM3 and reduced expression of PD-1 on immune cell subsets in advanced prostate cancers Niclas Blessin, Germany N. Debatin, E. Bady, J. Müller, T. Mandelkow, R. Simon, M. Lennartz, C. Bernreuther, Z. Huang, G. Sauter, T. Clauditz, S. Minner, E. Burandt, M. Graefen, N. Gorbokon 008 HPyloriDet: a clinically deployable tool for computer-aided helicobacter pylori detection in immunohistochemically stained slides Nicolas Brandt, Switzerland A. Bornand, D. Puppa, M. Kreutzfeldt, D. Merkler, A. Janowczyk 009 Immunohistochemical evidence of mTOR C1 and C2 pathway in diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) – a digital pathology analysis Lisa Comerford, Ireland M. O’Callaghan, M. Alquier, J. McCormack, E. Lynn, O. O’Carroll, D. Murphy, R. Crowley, D. O’Toole, C. McCarthy, A. Fabre 010 Validation of a quantitative image analysis algorithm for Ki67 index in breast cancer and neuroendocrine tumour Mélissande Cossutta, France J. Bellocq, C. Egele, A. Papine, E. B. Tatarinova, K. Socha, M. Soussaline, C. Homsy, F. Soussaline 011 A complete clinically applicable lung cancer diagnostic platform based on histopatholog- ical artificial intelligence Jiping Da, China N. Che, D. Zhao, Y. Zhao, S. Wang 012 Investigation of the applicability of mass spectrometry in pathological differential diagnosis Bálint András Deák, Hungary F. Csiza, G. Horkovics-Kováts, B. Gyöngyösi 014 The development and evaluation of a novel H&E stain quantification method Catriona Dunn, United Kingdom D. Brettle, D. Treanor 015 Construction of an extensive human skin dataset for artificial intelligence develop- ment Jeronimo Frias Rose, Sweden A. Bodén, J. Van Der Laak 016 Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer Monica González, Spain J. Gibert, P. Santiago, J. Santos, M. Garcia, J. Masso, B. Bellosillo Paricio, J. Albanell, B. Lloveras Rubio, I. Vázquez de las Heras, L. Comerma Blesa 017 Unraveling the immune involvement of sentinel lymph nodes in melanoma metastasis by hyper-multiplexed imaging Tal Haran, Israel I. Milo, S. Deis, E. Pikarsky, L. Keren