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Roughness Index and Roughness Distance for Benchmarking Medical Segmentation

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roughness-index-distance

RESEARCH-PAPER: {

TITLE: "Roughness Index and Roughness Distance for Benchmarking Medical Segmentation",
CITE:  "https://arxiv.org/pdf/2103.12350", 
YEAR: 2021,
CONFERENCE: "BIOIMAGING",
AUTHORS: ["Vidhiwar Singh Rathour",
                  "Kashu Yamakazi",
                        "Ngan Le"]}  

DIRECTORY-TREE: {

output: "Directory: Results are written",

lib: {"Directory: Contains Functions": {
        functions.py: "Python: Pytorch implementation of Roughness Index, Roughness ratio and Roughness distance"}},

data: "Directory: contains the data",

Roughness_metrics.py: "Python: (Main File) Evaluates Roughness Index, Roughness ratio and Roughness distance"}

HOW-TO-USE: {

  Uno: "Make sure the required libraries (Torch, Nibabel, Tqdm, ... etc.,. are installed",
  Dos: "Navigate to ./roughness-index/",
  Tres: "Run Roughness_metrics.py: $ python Roughness_metrics.py"}

EOF

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