A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere

Chaturanga Bandara; Eva Lippold; Matthias Schmidt

doi:10.5194/egusphere-egu22-6207

A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere

Chaturanga Bandara, Eva Lippold, Matthias Schmidt

Research output: Other contribution

Original language	English
DOIs	https://doi.org/10.5194/egusphere-egu22-6207
Publication status	Published - 27 Mar 2022

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@misc{5310dfaa5dd14a01809d6588c08f4305,

title = "A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere",

author = "Chaturanga Bandara and Eva Lippold and Matthias Schmidt",

year = "2022",

month = mar,

day = "27",

doi = "10.5194/egusphere-egu22-6207",

language = "English",

type = "Other",

}

TY - GEN

T1 - A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere

AU - Bandara, Chaturanga

AU - Lippold, Eva

AU - Schmidt, Matthias

PY - 2022/3/27

Y1 - 2022/3/27

UR - https://doi.org/10.5194/egusphere-egu22-6207

U2 - 10.5194/egusphere-egu22-6207

DO - 10.5194/egusphere-egu22-6207

M3 - Other contribution

ER -

A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere

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