Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers

Autor: Saillard, Charlie, Dehaene, Olivier, Marchand, Tanguy, Moindrot, Olivier, Kamoun, Aurélie, Schmauch, Benoit, Jegou, Simon

Publikováno v: Proceedings of the MICCAI Workshop on Computational Pathology, 156, 2021, 191-205

Microsatellite instability (MSI) is a tumor phenotype whose diagnosis largely impacts patient care in colorectal cancers (CRC), and is associated with response to immunotherapy in all solid tumors. Deep learning models detecting MSI tumors directly f

Externí odkaz: http://arxiv.org/abs/2109.05819

Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Autor: Dehaene, Olivier, Camara, Axel, Moindrot, Olivier, de Lavergne, Axel, Courtiol, Pierre

One of the biggest challenges for applying machine learning to histopathology is weak supervision: whole-slide images have billions of pixels yet often only one global label. The state of the art therefore relies on strongly-supervised model training

Externí odkaz: http://arxiv.org/abs/2012.03583

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Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

Autor: Saillard C; Owkin France, Medical Imaging Team, Paris, France., Delecourt F; Université Paris Cité, Dpt of Pathology - FHU MOSAIC, Beaujon Hospital, INSERM U1149, Clichy, France., Schmauch B; Owkin France, Medical Imaging Team, Paris, France., Moindrot O; Owkin France, Medical Imaging Team, Paris, France., Svrcek M; Dpt of Pathology, Saint-Antoine Hospital - Sorbonne Universités, Paris, France., Bardier-Dupas A; Dpt of Pathology, Pitié-Salpêtrière Hospital - Sorbonne Universités, Paris, France., Emile JF; Dpt of Pathology, Ambroise Paré Hospital - Université Saint Quentin en Yvelines, Paris, France., Ayadi M; Integragen, Genomic Services & Precision Medicine, Paris, France., Rebours V; Université Paris Cité, Dpt of Pancreatology - FHU MOSAIC, Beaujon Hospital, INSERM U1149, Clichy, France., de Mestier L; Université Paris Cité, Dpt of Pancreatology - FHU MOSAIC, Beaujon Hospital, INSERM U1149, Clichy, France., Hammel P; Dpt of Medical oncology, Paul Brousse Hospital, Villejuif, France., Neuzillet C; Medical oncology, Institut Curie, Paris, France., Bachet JB; Dpt of Gastroenterology, Pitié-Salpêtrière Hospital - Sorbonne Universités, Paris, France., Iovanna J; Centre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, Institut Paoli-Calmettes, Aix Marseille Université, CNRS UMR 7258, Marseille, France., Dusetti N; Centre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, Institut Paoli-Calmettes, Aix Marseille Université, CNRS UMR 7258, Marseille, France., Blum Y; Institut Génétique et Développement de Rennes (IGDR), CNRS, Université de Rennes 1, UMR 6290, Rennes, France., Richard M; Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble (TIMC-IMAG), CNRS, Université Grenoble-Alpes, UMR5525, Grenoble, France., Kermezli Y; Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble (TIMC-IMAG), CNRS, Université Grenoble-Alpes, UMR5525, Grenoble, France., Paradis V; Université Paris Cité, Dpt of Pathology - FHU MOSAIC, Beaujon Hospital, INSERM U1149, Clichy, France., Zaslavskiy M; Owkin France, Medical Imaging Team, Paris, France., Courtiol P; Owkin France, Medical Imaging Team, Paris, France., Kamoun A; Owkin France, Medical Imaging Team, Paris, France., Nicolle R; Université Paris Cité, FHU MOSAIC, Centre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, F-75018, Paris, France., Cros J; Université Paris Cité, Dpt of Pathology - FHU MOSAIC, Beaujon Hospital, INSERM U1149, Clichy, France. jerome.cros@aphp.fr.

Publikováno v: Nature communications [Nat Commun] 2023 Jun 13; Vol. 14 (1), pp. 3459. Date of Electronic Publication: 2023 Jun 13.