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"}