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Using deep learning to discover interpretable representations for mammogram classification and explanation

License: MIT License

Shell 0.09% Python 1.18% CSS 0.02% HTML 0.12% Jupyter Notebook 98.59%
deep-learning explainable-ai expert-in-the-loop ddsm pytorch mammogram convolutional-neural-networks mammography cnn

ddsm-visual-primitives's Issues

ValueError: not enough values to unpack (expected 2, got 1)

Hello, I have encountered a problem in the process of recreating the experiment, how to solve it.

File "F:\DDSM\ddsm-visual-primitives-master\training\dataset.py", line 14, in init
self.image_list = list(map(process_line, f.readlines()))
File "F:\DDSM\ddsm-visual-primitives-master\training\dataset.py", line 10, in process_line
image_name, label = line.strip().split(' ')
ValueError: not enough values to unpack (expected 2, got 1)

maxfeatures and features_blobs have different sizes

Traceback (most recent call last):
File "/ddsm-visual-primitives/unit_visualization/generate_unitsegments.py", line 168, in
maxfeatures[i] = np.zeros(size_features)
IndexError: list assignment index out of range

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