Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation

arXiv:2405.01701v1 Announce Type: new
Abstract: Cell image segmentation is usually implemented using fully supervised deep learning methods, which heavily rely on extensive annotated training data. Yet, due to the complexity of cell morphology and the requirement for specialized knowledge, pixel-level annotation of cell images has become a highly labor-intensive task. To address the above problems, we propose an active learning framework for cell segmentation using bounding box annotations, which greatly reduces the data annotation cost of cell segmentation algorithms. First, …

abstract active learning annotation arxiv become box complexity cost cs.cv data deep learning image images knowledge labor low pixel segmentation training training data type