APOL7C_3D: A High-Resolution 3D Electron Microscopy Dataset for Automated Multiclass Segmentation
ID: 001332
DRAFT
DRAFT
Contact Teo, Wulin
File Count 0
Size 0 B
Created February 5, 2025
Last update February 5, 2025
Licenses: spdx:CC0-1.0
Access Information: dandi:OpenAccess
APOL7C_3D: Automating Multiclass Segmentation of 3D EM Images Overview The APOL7C_3D dataset is designed for training and evaluating deep learning models for automated multiclass segmentation of 3D electron microscopy (EM) images. This dataset is curated for DANDIset, providing high-resolution volumetric EM data with corresponding segmentation masks for various subcellular structures.
Original...
Funding information
No funding information provided.
Anatomy
No anatomical information provided.
This Dandiset does not specify which brain regions or anatomical structures it covers. Adding indexed anatomy (e.g. UBERON terms) in the metadata editor makes this dataset discoverable by anatomical location.
Assets Summary
This Dandiset does not contain any valid assets.