Molecular pathology — The future? von Hutchins, G.G.A, Grabsch, H.I

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What can the molecular pathologist offer for optimal decision making? von Richman, S. D., Hutchins, G. G. A., Seymour, M. T., Quirke, P.

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Encrypted federated learning for secure decentralized collaboration in cancer image analysis von Truhn, D, Arasteh, S.T, Saldanha, O.L, Mueller-Franzes, G, Khader, F, Quirke, P, West, N.P, Gray, R, Hutchins, G.G.A, James, J.A, Loughrey, M.B, Salto-Tellez, M, Brenner, H, Brobeil, A, Yuan, T, Chang-Claude, J, Hoffmeister, M, Foersch, S, Han, T, Keil, S, Schulze-Hagen, M, Isfort, P, Bruners, P, Kaissis, G, Kuhl, C, Nebelung, S, Kather, J.N

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Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study von Wagner, S.J, Reisenbüchler, D, West, N.P, Niehues, J.M, Zhu, J, Foersch, S, Veldhuizen, G.P, Quirke, P, Grabsch, H.I, van den Brandt, P.A, Hutchins, G.G.A, Richman, S.D, Yuan, T, Langer, R, Jenniskens, J.C.A, Offermans, K, Mueller, W, Gray, R, Gruber, S.B, Greenson, J.K, Rennert, G, Bonner, J.D, Schmolze, D, Jonnagaddala, J, Hawkins, N.J, Ward, R.L, Morton, D, Seymour, M, Magill, L, Nowak, M, Hay, J, Koelzer, V.H, Church, D.N, TransSCOT consortium, Matek, C, Geppert, C, Peng, C, Zhi, C, Ouyang, X, James, J.A, Loughrey, M.B, Salto-Tellez, M, Brenner, H, Hoffmeister, M, Truhn, D, Schnabel, J.A, Boxberg, M, Peng, T, Kather, J.N

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