Can someone please explain to me the dataset and what are 'T2',etc .
", "messages": [ { "id": "1402622", "postDate": "07/28/2021 11:14:06", "content": "Can someone please explain to me the dataset and what are 'T2',etc .
", "rawMarkdown": "Can someone please explain to me the dataset and what are 'T2',etc .", "votes": null }, { "id": "1431310", "postDate": "08/03/2021 12:21:53", "content": "The dataset is a collection of MRI scans for each patient, each subfolder of the patient the four MRI scan types being FLAIR, T1w, T1wCE, and T2w. In the train_labels.csv file, it has two columns being the patient ID (BraTS21ID) and the MGMT promoters methylation status (MGMT_value) being 1 for methylated and 0 for not methylated.
\nBriefly, each MRI image gets a different focus of the target area (brain this time) which when used together can give a better picture of what is happening than one type alone. The following website goes into the difference between the types of scans seen in the dataset if you are interested: https://case.edu/med/neurology/NR/MRI%20Basics.htm
\nIf you want more information on the data of the competition either see the Data page or you can read the paper that this competition aligns with:
\n\nHope that helps answer your question. Good luck with the competition.
", "rawMarkdown": "The dataset is a collection of MRI scans for each patient, each subfolder of the patient the four MRI scan types being FLAIR, T1w, T1wCE, and T2w. In the train_labels.csv file, it has two columns being the patient ID (BraTS21ID) and the MGMT promoters methylation status (MGMT_value) being 1 for methylated and 0 for not methylated. \n\nBriefly, each MRI image gets a different focus of the target area (brain this time) which when used together can give a better picture of what is happening than one type alone. The following website goes into the difference between the types of scans seen in the dataset if you are interested: [https://case.edu/med/neurology/NR/MRI%20Basics.htm](https://case.edu/med/neurology/NR/MRI%20Basics.htm)\n\nIf you want more information on the data of the competition either see the [Data page](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data) or you can read the paper that this competition aligns with:\n\n[U.Baid, et al., “The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification”, arXiv:2107.02314, 2021](https://arxiv.org/pdf/2107.02314.pdf).\n\nHope that helps answer your question. Good luck with the competition.", "votes": null } ], "comments": [ { "id": 1431310, "author_name": "allanbond", "author_url": "", "post_date": "08/03/2021 12:21:53", "content": "The dataset is a collection of MRI scans for each patient, each subfolder of the patient the four MRI scan types being FLAIR, T1w, T1wCE, and T2w. In the train_labels.csv file, it has two columns being the patient ID (BraTS21ID) and the MGMT promoters methylation status (MGMT_value) being 1 for methylated and 0 for not methylated.
\nBriefly, each MRI image gets a different focus of the target area (brain this time) which when used together can give a better picture of what is happening than one type alone. The following website goes into the difference between the types of scans seen in the dataset if you are interested: https://case.edu/med/neurology/NR/MRI%20Basics.htm
\nIf you want more information on the data of the competition either see the Data page or you can read the paper that this competition aligns with:
\n\nHope that helps answer your question. Good luck with the competition.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1402622": "Can someone please explain to me the dataset and what are 'T2',etc .", "1431310": "The dataset is a collection of MRI scans for each patient, each subfolder of the patient the four MRI scan types being FLAIR, T1w, T1wCE, and T2w. In the train_labels.csv file, it has two columns being the patient ID (BraTS21ID) and the MGMT promoters methylation status (MGMT_value) being 1 for methylated and 0 for not methylated. \n\nBriefly, each MRI image gets a different focus of the target area (brain this time) which when used together can give a better picture of what is happening than one type alone. The following website goes into the difference between the types of scans seen in the dataset if you are interested: [https://case.edu/med/neurology/NR/MRI%20Basics.htm](https://case.edu/med/neurology/NR/MRI%20Basics.htm)\n\nIf you want more information on the data of the competition either see the [Data page](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/data) or you can read the paper that this competition aligns with:\n\n[U.Baid, et al., “The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification”, arXiv:2107.02314, 2021](https://arxiv.org/pdf/2107.02314.pdf).\n\nHope that helps answer your question. Good luck with the competition." }, "source": "meta" }