Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.
Saved in:
| Title: | Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features. |
|---|---|
| Authors: | Juppet Q; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland.; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., De Martino F; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Marcandalli E; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Weigert M; Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Burri O; BioImaging & Optics Platform, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Unser M; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland., Brisken C; Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. cathrin.brisken@epfl.ch., Sage D; Biomedical Imaging Group, School of Engineering, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.; EPFL Center for Imaging, Ecole Polytechnique Fédéralé de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch. |
| Source: | Journal of mammary gland biology and neoplasia [J Mammary Gland Biol Neoplasia] 2021 Jun; Vol. 26 (2), pp. 101-112. Date of Electronic Publication: 2021 May 17. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 9601804 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7039 (Electronic) Linking ISSN: 10833021 NLM ISO Abbreviation: J Mammary Gland Biol Neoplasia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1573-7039 |
|---|---|
| DOI: | 10.1007/s10911-021-09485-4 |
