Few-shot adaptation for morphology-independent cell instance segmentation

arXiv:2402.17165v1 Announce Type: new
Abstract: Microscopy data collections are becoming larger and more frequent. Accurate and precise quantitative analysis tools like cell instance segmentation are necessary to benefit from them. This is challenging due to the variability in the data, which requires retraining the segmentation model to maintain high accuracy on new collections. This is needed especially for segmenting cells with elongated and non-convex morphology like bacteria. We propose to reduce the amount of annotation and computing power needed for …

abstract accuracy analysis analysis tools arxiv benefit cs.cv data few-shot independent instance microscopy quantitative quantitative analysis retraining segmentation them tools type