Description: AdaptOR2021 - Deep Generative Model Challenge for Domain Adaptation in Surgery - MICCAI2021
+++ AdaptOR challenge re-opened December 2021 +++ The AdaptOR challenge will be further continued and is open to receiving submissions from Dec 6, 2021. The participating teams continue to have a maximum of 3 submissions. The submissions will be evaluated periodically and updated on our leaderboard . Please make note of our revised data access form . The joint challenge publication has not yet been carried out. This publication will be planned by the organisers, once a sufficient number of submissions are r
Mitral regurgitation (MR) is the second most frequent indication for valve surgery in Europe and may occur for organic or functional causes [ 1 ]. Mitral valve repair, although considerably more difficult, is prefered over mitral valve replacement, since the native tissue of the valve is preserved. It is a complex on-pump heart surgery, often conducted only by a handful of surgeons in high-volume centers. Minimally invasive procedures, which are performed with endoscopic video recordings, became more and mo
The task associated to the domain adaptation itself is to detect a varying number of 2D landmarks per frame [ 4 ] in the target domain. The landmarks are defined by the placement of sutures during mitral annuloplasty (entry and exit points into the tissue), which renders useful for surgical skill assessment and detailed intraoperative documentation. The evaluation metrics of this challenge will be related to how well these points could be identified in unseen intraoperative scenes, therefore it is also poss