Inferring a third spatial dimension from 2D histological images

Maxime W. Lafarge, Josien P.W. Pluim, Koen A.J. Eppenhof, Pim Moeskops, Mitko Veta

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)


Histological images are obtained by transmitting light through a tissue specimen that has been stained in order to produce contrast. This process results in 2D images of the specimen that has a three-dimensional structure. In this paper, we propose a method to infer how the stains are distributed in the direction perpendicular to the surface of the slide for a given 2D image in order to obtain a 3D representation of the tissue. This inference is achieved by decomposition of the staining concentration maps under constraints that ensure realistic decomposition and reconstruction of the original 2D images. Our study shows that it is possible to generate realistic 3D images making this method a potential tool for data augmentation when training deep learning models.

Originele taal-2Engels
Titel2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Plaats van productiePiscataway
UitgeverijIEEE Computer Society
Aantal pagina's4
ISBN van elektronische versie978-1-5386-3636-7
ISBN van geprinte versie978-1-5386-3637-4
StatusGepubliceerd - 23 mei 2018
Evenement15th IEEE International Symposium on Biomedical Imaging (ISBI 2018) - Omni Shoreham Hotel, Washington, Verenigde Staten van Amerika
Duur: 4 apr. 20187 apr. 2018
Congresnummer: 15


Congres15th IEEE International Symposium on Biomedical Imaging (ISBI 2018)
Verkorte titelISBI18
Land/RegioVerenigde Staten van Amerika
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