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2020 the 3rd Asia cup Brain Tumor Segmentation 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. Clinical challenge: 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!Organizer: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 )Co-organizers 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.Prize1st  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)

2020-07-14T16:00:00+00:00 ~ 2020-09-25T16:00:00+00:00
Closed

Mosquito Breeding Site Hunting for Dengue Fever Control

Dengue fever is an acute infectious disease transmitted by mosquito. The peak time of dengue fever outbreak in Taiwan is usually at summertime. Mild clinical cases of dengue fever may present as symptoms such as fever, headaches, and myalgia while severe cases may have severe fluid leakage, hemorrhagic symptoms, shock, organ failure, coma and even death. The mortality rate can be as high as 20% or more if the patient does not receive proper treatment in time.To effectively prevent dengue fever outbreak, cleaning up the breeding sites of the mosquitos is essential. Possible breeding sites for mosquitos include all containers that hold stagnant water, such as bottles, basins, buckets, cans, cups, bowls, tires, plastic bags, and etc.Every year, the Taiwan Centers for Disease Control collaborate with local health department to examine the communities and to find uncleaned sites with those containers that may hold stagnant water, where may become mosquito breeding sites afterwards. However, the inspection takes tremendous manpower and time. This challenge provides labeled data for the various types of containers, and aims to build an object detection model for possible breeding sites. This way the inspectors can pinpoint the containers which hold stagnant water by digital camera images or live video, and thus improve the effectiveness of inspection and breeding site elimination. This is an open-ended problem that can be solved consistently over a long period of time, and has offered milestone awards for participants. the award will be given to the first three participants who reached the Baseline, and Private Leaderboard will be updated occasionally. Prize InformationThe final score should be uploaded before 23:59:59 on the day of milestone. The top three exceeding Baseline score (0.595474) on Private Leaderboard would be awarded as follows:The first place: 100,000 discount points of hicloudThe second place: 100,000 discount points of hicloudThe third place: 100,000 discount points of hicloudRewards were provided by Chunghwa TelecomNote:1. Hicloud points can redeem service charge. After the discount, the price will be charged at 30% off based on the list price automatically.2. Chunghwa Telecom deserves the right to make changes to the terms and conditions herein.3. A model verification process will be performed to verify eligibility of awardees. Only those who pass model verification process will be awarded a certificate and/or prize.The example of calculating points can be referred to https://aidea-web.tw/computing

2019-01-27T16:00:00+00:00 ~ 2019-11-30T15:59:59+00:00