Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project

arXiv:2403.15143v1 Announce Type: new
Abstract: Image annotation is one of the most essential tasks for guaranteeing proper treatment for patients and tracking progress over the course of therapy in the field of medical imaging and disease diagnosis. However, manually annotating a lot of 2D and 3D imaging data can be extremely tedious. Deep Learning (DL) based segmentation algorithms have completely transformed this process and made it possible to automate image segmentation. By accurately segmenting medical images, these algorithms can greatly …

abstract active learning annotation arxiv course cs.ai cs.cv diagnosis disease disease diagnosis framework however image imaging medical medical imaging modular patients progress project report tasks technical therapy tracking treatment type