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saezlab / kasumi_bench

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Data availability #1

Closed j-bac closed 3 months ago

j-bac commented 7 months ago

Would you have data available for reproducibility ? For example I downloaded data from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792442/ but inside Image Data/Segmetation_Outlines_and_Labels_Mendeley/ are .tiff files rather than the .csv loaded in your scripts

jtanevski commented 3 months ago

Thanks for your patience, I seem to have missed this issue. We are now updating the manuscript and the benchmark, but the data remains the same. To address your question, there is a simple way to extract the information needed for running Kasumi on the DCIS dataset. All information is contained in the _labels.tiff files and the segmentation mask within. Here is a Python code:

import glob
import re
from skimage import io
from skimage.measure import regionprops_table
import pandas

for f in glob.glob("*_labels.tiff"):
    mask = io.imread(f)
    rp = regionprops_table(mask,  properties=('label', 'centroid'))
    pandas.DataFrame(rp).to_csv(re.findall("\d+", f)[0] + ".csv", index = False)
jtanevski commented 3 months ago

I also added the instructions in the README file.