participants / team
NTU Med God-A data platform for precision medicine
Upload function will be closed at 2020/9/26 10:00(GMT+8:00) without ranking information (only scores) and leaderboard.
Thanks for your patience. The upload function is available from now to 2020/09/26 10:00(Taipei Time). Please update the results to get the final score of this challenge.
Because we are going to change to the last stage of this challenge, the upload function is temporarily unavailable before 2020/09/18 12:00(Taipei time).BTW, the records of validation will be also cleared.
1. The final score is only based on testing dataset. 2. Max 5 challengers in one team, at least one student 3. The test data will be released to the teams that have uploaded result of validation dataset and the link will be sent by email to the leader of team. 4. Top 10 teams: 8-minute oral presentation (please send* or upload slide before Sept.25) *email for senting the slide is firstname.lastname@example.org
1. The compressed file should not contain directories. 2. Names of the files in the compressed file and names of the image directory files should be identical.
Step 1: Input team name in the box. Before this, the default team name is your username. Step 2: Click the "request merge" button, then your request will be sent to the team leader immediately. Notes: 1. Make sure the member you want to invite has an AIdea account. 2. Make sure the member you want to invite has registered this challenge.
CyberKnife uses a high-energy X-ray machine on a robotic arm to precisely deliver radiation beams that destroy tumor cells and stop tumor growth while avoiding damage to healthy tissue.
Before treatment, need to create a personalized treatment plan to evaluate the unique shape, size and location of the tumor, as well as the tissue and structures that need to be protected.
1-CyberKnife mostly is used for tiny tumor
2-It is a very time-consuming process, It will take hours for two professionals (one doctor and one medical physicist) to perform the computer planning, and for complicated case, it will take a day to create the plan for a patient
In order to enhance the workflow, we want to train the AI to identify the location of brain tumors and contour it.
Through this challenge, we hope to encourage participants to learn from each other and optimize the training process to get the best model performance as possible.
Welcome to join us! Action now!
台大醫神-精準醫療人工智慧輔助決策系統(NTU Med God-A data platform for precision medicine )
科技部補助全幅健康照護中心(MOST All Vista Healthcare Center)
商之器科技(EBM Technologies )
台大醫院神經外科(The Neurosurgery in NTUH)
國立台灣大學生醫電子與資訊學研究所(Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University)
威強電工業電腦(IEI Integration Corp.)
威聯通科技(QNAP Systems, Inc.)
The Ministry of Science and Technology All Vista Healthcare Center (MAHC), a research center launched in March 2018 and fully supported by Taiwan government, is dedicated to AI applications in medicine and healthcare. The MAHC aims to establish a world level platform to facilitate explorations of AI model-driven or data-driven technology for medical and healthcare, through which any technology targeted for medical AI applications can be quickly developed and validated. The MAHC is expected to lead and promote domestic research teams specialized in biomedical and healthcare fields and in turn to improve the health and well-being of people in Taiwan.
There are currently 11 project teams, affiliated with top academics and medical centers in Taiwan, under the MAHC. Based on the research topics, the projects can be categorized into five areas: mental healthcare, medical imaging, decision support, precision drug use, and AI-ethical, legal, and social impact (AI-ELSI).
In addition to working with research groups from domestic institutions in Taiwan, the MAHC is forming collaborations/partnerships with internationally renowned academics such as Stanford University, Harvard Medical School and its affiliates, and University of Toronto (Canada) for the advancement of medical AI research. Moreover, the MAHC is also working with industrial partners to promote commercialization and entrepreneurship.
We anticipate that the MAHC become a top-notch cluster for digital health and medicine so that medical achievements enhanced by the AI techniques in Taiwan can be more easily recognized worldwide.
1st place: One team $USD 2,000 (tax included)+ QNAP NAS*1 (value USD300)
2nd place: One team $USD 1,700 (tax included)+ QNAP NAS*1 (value USD300)
3rd place: One team $USD 1,300 (tax included)+ QNAP NAS*1 (value USD300)
4th place: One team $USD 1,000 (tax included)+ QNAP NAS*1 (value USD300)
Remark1: After submission of AI model and inference source code,the top 4 winners will receive the prize money after the deduction of tax. (vary by country)
Start from July 17, 2020
Release of training data *1500 (Brain MRI image 3D T1+C )
Release of validation data*50 (Brain MRI image 3D T1+C )
Submit answers to the online score board to get score and ranking (Dice score)
Release of testing data*100 (Brain MRI image 3D T1+C )
Freeze the leaderboard
Award Announcement Day via google meet
|10:00 ~10:30||Contestant check in|
|11:00~11:20||Addresses by Honorable Guests|
|11:30-11:40||Introduction of brain tumor AI inference system|
|11:40-12:50||Lunch and demo of brain tumor AI inference system|
|13:00~14:40||TOP10 team online or on-site presentation (8-minute in English) Q&A |
(pls send slides before Sept.25 to email@example.com)
|前十名隊伍, 線上或是現場英文簡報 |
|15:30~16:00||Winner registration and team communication|
If any question, you may leave a message in this forum,
or contact iEi PM Jessica <firstname.lastname@example.org>