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An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

Home Page: https://ieeexplore.ieee.org/document/7095384

Python 26.68% Jupyter Notebook 73.32%
cup-segmentation-methods optic-disc glaucoma-detection fundus-image-analysis ai adaptive-thresholding medical-image-processing optic-cup cdr ipynb

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cup-and-disc-segmentation-for-glaucoma-detection-cdr-calculation-'s Issues

Parsing scv error

Hello thank you very much for your work and providing source code about cup and disc segmentation. But I have problem here, I tried to run Glaucoma_detection.py it showed me error code like this :

Traceback (most recent call last):
  File "Glaucoma_detection.py", line 312, in <module>
    X_test = pd.read_csv('E:/Term Project 01/x1.csv', header=None, delim_whitespace=True)
  File "C:\Users\nvidia\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\io\parsers.py", line 702, in parser_f
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\nvidia\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\io\parsers.py", line 429, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "C:\Users\nvidia\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\io\parsers.py", line 895, in __init__
    self._make_engine(self.engine)
  File "C:\Users\nvidia\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\io\parsers.py", line 1122, in _make_engine
    self._engine = CParserWrapper(self.f, **self.options)
  File "C:\Users\nvidia\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\io\parsers.py", line 1853, in __init__
    self._reader = parsers.TextReader(src, **kwds)
File "pandas\_libs\parsers.pyx", line 545, in pandas._libs.parsers.TextReader.__cinit__
pandas.errors.EmptyDataError: No columns to parse from file

then I checked all the csv files, suddenly csv a, b, c, d, x1 and y1 became empty. I followed your intructions about putting the exact dataset folder right into source code file etc.

CSVfiles

There is no line of code to create files x.csv and y.csv for the training data set
how is it reading it then?

No module named 'imhandle'

I couldn't find anything about this on the internet. Can you explain it or what else I can use instead?

import imhandle as imh
X_all, file_names = imh.load_set(images_path)

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