Classification of brain tissue with optical coherence tomography by employing texture analysis

M. Lenz, R. Krug, N.C. Gerhardt, K. Schmieder, M.R. Hofmann, C. Dillmann, H. Welp, in: Optics, Photonics, and Digital Technologies for Imaging Applications V, 2018.

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Lenz, Marcel; Krug, Robin; Gerhardt, Nils ChristopherLibreCat ; Schmieder, Kirsten; Hofmann, Martin R.; Dillmann, Christopher; Welp, Hubert
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Optics, Photonics, and Digital Technologies for Imaging Applications V
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Lenz M, Krug R, Gerhardt NC, et al. Classification of brain tissue with optical coherence tomography by employing texture analysis. In: Optics, Photonics, and Digital Technologies for Imaging Applications V. ; 2018. doi:10.1117/12.2307701
Lenz, M., Krug, R., Gerhardt, N. C., Schmieder, K., Hofmann, M. R., Dillmann, C., & Welp, H. (2018). Classification of brain tissue with optical coherence tomography by employing texture analysis. Optics, Photonics, and Digital Technologies for Imaging Applications V. https://doi.org/10.1117/12.2307701
@inproceedings{Lenz_Krug_Gerhardt_Schmieder_Hofmann_Dillmann_Welp_2018, title={Classification of brain tissue with optical coherence tomography by employing texture analysis}, DOI={10.1117/12.2307701}, booktitle={Optics, Photonics, and Digital Technologies for Imaging Applications V}, author={Lenz, Marcel and Krug, Robin and Gerhardt, Nils Christopher and Schmieder, Kirsten and Hofmann, Martin R. and Dillmann, Christopher and Welp, Hubert}, year={2018} }
Lenz, Marcel, Robin Krug, Nils Christopher Gerhardt, Kirsten Schmieder, Martin R. Hofmann, Christopher Dillmann, and Hubert Welp. “Classification of Brain Tissue with Optical Coherence Tomography by Employing Texture Analysis.” In Optics, Photonics, and Digital Technologies for Imaging Applications V, 2018. https://doi.org/10.1117/12.2307701.
M. Lenz et al., “Classification of brain tissue with optical coherence tomography by employing texture analysis,” 2018, doi: 10.1117/12.2307701.
Lenz, Marcel, et al. “Classification of Brain Tissue with Optical Coherence Tomography by Employing Texture Analysis.” Optics, Photonics, and Digital Technologies for Imaging Applications V, 2018, doi:10.1117/12.2307701.

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