Hi Kagglers,
\n\nWelcome to our Oropharynx Cancer (OPC) Radiomics Challenge: Local Recurrence Prediction, a Kaggle competition that is just getting rolling! We're really thrilled to launch this challenge on Kaggle in class, in partnership with MICCAI 1 to trigger this important issue that represents a matter of concern for all the workers in the field of head and neck cancer management. We hope that by the end of this challenge we'll yield many interesting elaborative and of course winning algorithms, that will conceptually shift our perspective of the way we manage oropharynx cancer patients. We promise the winning team to be offered a proffered manuscript acceptance (post-editorial review) in order to highlight and describe their approach and algorithm with waiver of fees in Clinical and Translational Radiation Oncology (ctRO), along with an invitation to attend the 19th MICCAI international conference in Greece. Also, our data science team will be perceptive on this forum throughout the challenge to answer your questions. Good luck Kagglers and may the odds be ever in your favor!!
", "messages": [ { "id": "129137", "postDate": "07/27/2016 00:18:43", "content": "Hi Kagglers,
\n\nWelcome to our Oropharynx Cancer (OPC) Radiomics Challenge: Local Recurrence Prediction, a Kaggle competition that is just getting rolling! We're really thrilled to launch this challenge on Kaggle in class, in partnership with MICCAI 1 to trigger this important issue that represents a matter of concern for all the workers in the field of head and neck cancer management. We hope that by the end of this challenge we'll yield many interesting elaborative and of course winning algorithms, that will conceptually shift our perspective of the way we manage oropharynx cancer patients. We promise the winning team to be offered a proffered manuscript acceptance (post-editorial review) in order to highlight and describe their approach and algorithm with waiver of fees in Clinical and Translational Radiation Oncology (ctRO), along with an invitation to attend the 19th MICCAI international conference in Greece. Also, our data science team will be perceptive on this forum throughout the challenge to answer your questions. Good luck Kagglers and may the odds be ever in your favor!!
", "rawMarkdown": "**Hi Kagglers,**\r\n\r\nWelcome to our Oropharynx Cancer (OPC) Radiomics Challenge: Local Recurrence Prediction, a Kaggle competition that is just getting rolling! We're really thrilled to launch this challenge on Kaggle in class, in partnership with MICCAI [1] to trigger this important issue that represents a matter of concern for all the workers in the field of head and neck cancer management. We hope that by the end of this challenge we'll yield many interesting elaborative and of course winning algorithms, that will conceptually shift our perspective of the way we manage oropharynx cancer patients. We promise the winning team to be offered a proffered manuscript acceptance (post-editorial review) in order to highlight and describe their approach and algorithm with waiver of fees in Clinical and Translational Radiation Oncology (ctRO), along with an invitation to attend the 19th MICCAI international conference in Greece. Also, our data science team will be perceptive on this forum throughout the challenge to answer your questions. Good luck Kagglers and may the odds be ever in your favor!!\r\n\r\n\r\n [1]: http://cpm-miccai.org/", "votes": null }, { "id": "133012", "postDate": "08/30/2016 21:29:16", "content": "Is the DICOM data for the Local Recurrence Prediction and HPV Status Prediction same?
", "rawMarkdown": "Is the DICOM data for the Local Recurrence Prediction and HPV Status Prediction same?", "votes": null }, { "id": "133051", "postDate": "08/31/2016 03:33:53", "content": "Welcome and Thank you for your interest in the competition.\nAs regard your query, each challenge has its own training and test set, which collectively sum up to our cohort of 315 oropharynx cancer patients. That's to say that the training and test sets in "HPV status prediction" & "Local recurrence prediction" are not the same, which implies that you'll need to download both sets of data, if you are planning to take both challenges.
\n\nPlease don't hesitate to contact me if you have any further queries.
", "rawMarkdown": "Welcome and Thank you for your interest in the competition.\r\nAs regard your query, each challenge has its own training and test set, which collectively sum up to our cohort of 315 oropharynx cancer patients. That's to say that the training and test sets in \"HPV status prediction\" & \"Local recurrence prediction\" are not the same, which implies that you'll need to download both sets of data, if you are planning to take both challenges.\r\n\r\nPlease don't hesitate to contact me if you have any further queries.", "votes": null } ], "comments": [ { "id": 133012, "author_name": "mayoore", "author_url": "", "post_date": "08/30/2016 21:29:16", "content": "Is the DICOM data for the Local Recurrence Prediction and HPV Status Prediction same?
", "votes": null, "replies": [] }, { "id": 133051, "author_name": "heshamelhalawani", "author_url": "", "post_date": "08/31/2016 03:33:53", "content": "Welcome and Thank you for your interest in the competition.\nAs regard your query, each challenge has its own training and test set, which collectively sum up to our cohort of 315 oropharynx cancer patients. That's to say that the training and test sets in "HPV status prediction" & "Local recurrence prediction" are not the same, which implies that you'll need to download both sets of data, if you are planning to take both challenges.
\n\nPlease don't hesitate to contact me if you have any further queries.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "129137": "**Hi Kagglers,**\r\n\r\nWelcome to our Oropharynx Cancer (OPC) Radiomics Challenge: Local Recurrence Prediction, a Kaggle competition that is just getting rolling! We're really thrilled to launch this challenge on Kaggle in class, in partnership with MICCAI [1] to trigger this important issue that represents a matter of concern for all the workers in the field of head and neck cancer management. We hope that by the end of this challenge we'll yield many interesting elaborative and of course winning algorithms, that will conceptually shift our perspective of the way we manage oropharynx cancer patients. We promise the winning team to be offered a proffered manuscript acceptance (post-editorial review) in order to highlight and describe their approach and algorithm with waiver of fees in Clinical and Translational Radiation Oncology (ctRO), along with an invitation to attend the 19th MICCAI international conference in Greece. Also, our data science team will be perceptive on this forum throughout the challenge to answer your questions. Good luck Kagglers and may the odds be ever in your favor!!\r\n\r\n\r\n [1]: http://cpm-miccai.org/", "133012": "Is the DICOM data for the Local Recurrence Prediction and HPV Status Prediction same?", "133051": "Welcome and Thank you for your interest in the competition.\r\nAs regard your query, each challenge has its own training and test set, which collectively sum up to our cohort of 315 oropharynx cancer patients. That's to say that the training and test sets in \"HPV status prediction\" & \"Local recurrence prediction\" are not the same, which implies that you'll need to download both sets of data, if you are planning to take both challenges.\r\n\r\nPlease don't hesitate to contact me if you have any further queries." }, "source": "meta" }