Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields

arXiv:2403.17808v1 Announce Type: cross
Abstract: The segmentation and tracking of living cells play a vital role within the biomedical domain, particularly in cancer research, drug development, and developmental biology. These are usually tedious and time-consuming tasks that are traditionally done by biomedical experts. Recently, to automatize these processes, deep learning based segmentation and tracking methods have been proposed. These methods require large-scale datasets and their full potential is constrained by the scarcity of annotated data in the biomedical imaging domain. …

abstract arxiv biology biomedical cancer cells cs.cv cs.lg denoising development diffusion domain drug development eess.iv experts fields flow processes research role segmentation tasks tracking type video video generation vital