The PALM challenge focuses on investigation and development of algorithms associated with diagnosis of Pathologic Myopia (PM) and segmentation of lesions in fundus photos from PM patients. The goal of the challenge is to evaluate and compare automated algorithms for detection of patholgic myopia on a common dataset of retinal fundus images. We invite the medical image analysis community to participate by developing and testing existing and novel automated fundus classification and segmentation methods.
Related RULES are copied as below for your reference.
- Anonymous registration is NOT allowed. All information entered when registering a team, including the (TRUE) Name of the contact person, the Affiliation (including department, full name of university/institute/company, country) and the E-mail address must be COMPLETE and CORRECT.
- Incomplete registrations will be removed without notice.
- Redundant registrations will be removed without notice.
How to Participate?
Please contact the organizers if you have any questions.
|xx xxxx 2018:||Registration opens.|
|xx xxxx 2018:||Training images are released.|
|xx xxxx 2018:||Annotations of the Training set are released.|
|xx xxxx 2019:||Off-site validation set is released.|
|xx xxxx 2019:||
Submissions of results on Off-site validation set are opened.
- A team must be registered through email and got approval before able to
submit the results to get a score on leaderboard
|xx xxxx 2019:||Off-site validation set results submission deadline.|
|xx xxxx 2019:||Paper SUBMISSION (draft manuscript submission which can be updated by xxxx xx) deadline.
-- This is to issue the invitation letters to whom needs an invitation for travel approval.
|xx xxxx 2019:||Camera-ready paper SUBMISSION deadline.|
|xx April 2019:||On-site PALM in conjunction with ISBI 2019.|
Number of users: 0