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Thanks for sharing your great work. The paper claimed that cnn-lstm model was trained on Kaggle dataset and further tested on the CQ500 dataset.
Can the code provided in this repository be used to train a cnn-lstm model using train data from CQ500 ?
The text was updated successfully, but these errors were encountered:
Hi @AI678,
You can train with any brain-ct classification dataset following the same data-preprocessing + modeling pipeline from this repo e.g. 3-windowed RGB-like images + CNN-LSTM architecture.
CQ500 was originally created by the Qure.ai team (http://headctstudy.qure.ai/), which can be downloaded, contained only 500 studies. The larger training set (Qure25k) is not publicly available.
500 studies is a small number so I advise you against training models solely on the CQ500 dataset.
Thanks for sharing your great work. The paper claimed that cnn-lstm model was trained on Kaggle dataset and further tested on the CQ500 dataset.
Can the code provided in this repository be used to train a cnn-lstm model using train data from CQ500 ?
The text was updated successfully, but these errors were encountered: