Name: Laboratory of Image Data Science (LIDS)
Type: Organization
Bio: LIDS is a suitable environment for interdisciplinary research involving processing, analysis, and visualization of multidimensional image data from all area.
Location: Campinas, Brazil.
Blog: http://lids.ic.unicamp.br/
Laboratory of Image Data Science (LIDS)'s Projects
ALTIS+ - Automatic Lungs and Trachea Image Segmentation with Pleural Anomaly Detection
Dynamic and Iterative Spanning Forest (DISF) superpixel segmentation framework
Feature Learning from Image Markers
Grabber: A Tool to Improve Convergence in Interactive Image Segmentation
MO445 tools for image segmentation using FLIM project
Object-based Dynamic and Iterative Spanning Forest (ODISF) Superpixel Segmentation
Implementation of the Object-based Iterative Spanning Forest (OISF) framework
PyIFT is a Python wrapper of a fork the LIDS C library.
Implementation of "Rethinking Interactive Image Segmentation: Feature Space Annotation", Pattern Recognition 2022
Recursive Iterative Spanning Forest (RISF) framework for hierarchical superpixel segmentation as seen in https://doi.org/10.1016/j.patcog.2020.107532
Superpixels through Iterative CLEarcutting (SICLE) framework
Software for image selection and marker labeling for FLIM using feature space projections