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Traceability of oak logs: Extension of the Biomtrace database for the study o...
Les exigences en termes de traçabilité du bois sont de plus en plus fortes. Dans le but de lutter contre le commerce illégal du bois des labels et des réglementations sont mis... -
Training Data and Models for the paper: Data-efficient U-Net for Segmentation...
This dataset contains scanning electron microscopy (SEM) images of steel alloys, including paired secondary electron (SE2) and in-lens (InLens) channels, with corresponding... -
Replication Data for: Physics based machine learning for sub-cellular segment...
Abstract: Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring... -
UCLH-Cyst - An anonymised dataset collected at UCLH of 98 pre-cystectomy CT s...
Associated anonymised dataset for "KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation", submitted for... -
EPISURG: a dataset of postoperative magnetic resonance images (MRI) for quant...
EPISURG is a clinical dataset of T1-weighted magnetic resonance images (MRI) from 430 epileptic patients who underwent resective brain surgery at the National Hospital of... -
Registered histology, MRI, and manual annotations of over 300 brain regions i...
Summary: This repository includes data related to the ERC Starting Grant project 677697: "Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies"... -
3D Microvascular Image Data and Labels for Machine Learning
These images and associated binary labels were collected from collaborators across multiple universities to serve as a diverse representation of biomedical images of vessel... -
Endoscopic Pituitary Surgery on a High-fidelity Bench-top Phantom
The first public dataset containing both instrument and surgical skill assessment annotations in a high-fidelity bench-top phantom (www.store.upsurgeon.com/products/tnsbox/) of... -
Universal Segmentations 1.0 (UniSegments 1.0)
Universal Segmentations (UniSegments) is a collection of lexical resources capturing morphological segmentations harmonised into a cross-linguistically consistent annotation... -
Medieval Charter Sections Corpus
This package provides an evaluation framework, training and test data for semi-automatic recognition of sections of historical diplomatic manuscripts. The data collection... -
How to use segmentation
This document explains how to use the EXMARaLDA Partitur-Editor's built-in finite state machine segmentation algorithms. No previous knowledge on algorithms, finite state... -
Quickstart: Segmentation in the EXMARaLDA Partitur Editor
A quickstart introduction into segmentation in the EXMARaLDA Partitur Editor -
Yeast Cells in Microstructures Dataset
Yeast cell instance-segmentation dataset of the paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC, 2023]. https://arxiv.org/abs/2304.07597 We... -
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cel...
TYC dataset proposed in the paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023]. Project page:... -
A singularity container for derivation of spatial WMH
This singularity file can be used to create WMH parcellation with the Bullseye segmentation approach. Fore more details see https://gitlab.gwdg.de/frauke.beyer/charge_spatialwmh -
Segmentation masks of ZooScan images focusing on images with several objects ...
The first step in many image analysis tasks is the segmentation of objects of interest from a full image. This is the case for ZooScan images. The ZooScan is a waterproof... -
FastSurferVINN
Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource... -
FastSurferVINN
Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource... -
Scene-Centric Unsupervised Panoptic Segmentation
Unsupervised panoptic segmentation aims to partition an image into semantically meaningful regions and distinct object instances without training on manually annotated data. In...
