2 papers
q-bio.OT2025
MIFA: Metadata, Incentives, Formats, and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis
Teresa Zulueta-Coarasa, Florian Jug, Aastha Mathur +24
Artificial Intelligence methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new methods, but a…
cs.CV2025
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
Anna Foix Romero, Craig Russell, Alexander Krull +1
The shape of objects is an important source of visual information in a wide range of applications. One of the core challenges of shape quantification is to ensure that the extracte…