Resumen de Using FastSAM for Creating Custom Automatic Segmentation Models for Medicine and Biology

Santiago Parames Estévez, Diego Pérez Dones, Ignacio Rego Pérez, Natividad Oreiro Villar, Francisco J. Blanco, Javier Roca Pardiñas , Germán Gonzalez Pazó, David G. Miguez, Alberto P. Muñuzuri

• FastSAM, a publicly available image segmentation model designed for general image segmentation, is turned into a highly adaptable and advanced segmentation tool that requires minimal training in two distinct scenarios. In the first case, we examine macroscopic X-ray images of the knee, in the second case, we focus on microscopic images of the zebra fish embryo retina, which have a significantly smaller spatial scale. We determine the minimum number of images needed to maintain state-of-the-art segmentation quality in each case. Finally, we evaluate the impact of image filtering and the unique considerations of segmenting 3D retinal volumes.