MegaQuant: Fully Integrated Deep-Learning Workflow in QuPath—Application to the Detection of Megakaryocytes in Human Bone Marrow
R. Sarkis, L.-F. Celma, R. Dornier, O. Burri, C. Royer-Chardon, M. Barthélemy, A. Alonso, L. de Leval, D. Sage, O. Naveiras
Proceedings of the Twentieth European Congress on Digital Pathology (ECDP'24), Vilnius, Republic of Lithuania, June 5-8, 2024.
Megakaryocytes (MKs), precursors of platelets, can be altered by clinical conditions and their assessment is of diagnostic value. When evaluated on H&E images, they are challenging to segment due to their complex shape. Here, we propose a fully integrated workflow implemented within QuPath, leveraging existing deep-learning tools to segment and quantify MKs.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/sarkis2401.html,
AUTHOR="Sarkis, R. and Celma, L.-F. and Dornier, R. and Burri, O. and
Royer-Chardon, C. and Barth{\'{e}}lemy, M. and Alonso, A. and de
Leval, L. and Sage, D. and Naveiras, O.",
TITLE="MegaQuant: {F}ully Integrated Deep-Learning Workflow in
QuPath---Application to the Detection of Megakaryocytes in Human
Bone Marrow",
BOOKTITLE="Proceedings of the Twentieth European Congress on Digital
Pathology ({ECDP'24})",
YEAR="2024",
editor="",
volume="",
series="",
pages="29",
address="Vilnius, Republic of Lithuania",
month="June 5-8,",
organization="",
publisher="",
note="")
© 2024 . Personal use of this material is permitted. However, permission to
reprint/republish this material for advertising or promotional purposes or for creating
new collective works for resale or redistribution to servers or lists, or to reuse any
copyrighted component of this work in other works must be obtained from .
This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints
invoked by each author's copyright. In most cases, these works may not be reposted without
the explicit permission of the copyright holder.