{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":99552,"databundleVersionId":13851420,"sourceType":"competition"}],"dockerImageVersionId":31153,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"This is a series of posts describing what I did in the [RSNA Intracranial Aneurysm Detection](https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection) Kaggle competition. The resulting code is in [this GitHub repository](https://github.com/afonsomm/rsna_iad) and on [my blog](https://afonso.matosomagalhaes.com/posts/rsna_iad). To run this, clone the GitHub repository.\n\n**Posts:**\n\n[1. DICOM to NifTI](https://www.kaggle.com/code/afonsomm98/1-dicom-to-nifti-rsna-iad)\n\n[2. DICOM to NifTI Remote](https://www.kaggle.com/code/afonsomm98/2-dicom-to-nifti-remote-rsna-iad)\n\n[3. Pre-calculate voxel spacing](https://www.kaggle.com/code/afonsomm98/3-pre-calculate-voxel-spacing-rsna-iad)\n\n[4. Pre-processing volumes](https://www.kaggle.com/code/afonsomm98/4-pre-processing-volumes-rsna-iad)\n\n[5. Finetuning model](https://www.kaggle.com/code/afonsomm98/5-finetuning-model-rsna-iad)\n\n[6. Submission notebook](https://www.kaggle.com/code/afonsomm98/6-submission-notebook-rsna-iad)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}