Image data and trained deep learning models to segment the epithelium / Ki67 positive or negative nuclei in haematoxylin/DAB immunohistochemistry images. As described in our manuscript entitled: Devel
Below, compressed in a rar file, we present the data set developed during the research "Authomatic landslides detection using deep learning approach", submitted to the journal Landslides. “Landslide_d
Data accompanying publication "LineaMapper: a deep learning-powered tool for mapping linear surface features on Europa" (Haslebacher et al., Icarus, 2023, https://doi.org/10.1016/j.icarus.2023.115722)
This dataset encompasses a NIfTI file containing a collection of 500 images, each capturing the central axial slice of a synthetic brain MRI. Accompanying this file is a CSV dataset that serves as