acd
Datasets
All datasets matching “acd”acdc
General information
The overall ACDC dataset was created from real clinical exams acquired at the University Hospital of Dijon. Acquired data were fully anonymized and handled within the regulations set by the local ethical committee of the Hospital of Dijon (France). Our dataset covers several well-defined pathologies with enough cases to (1) properly train machine learning methods and (2) clearly assess the variations of the main physiological parameters obtained from cine-MRI (in… See the full description on the dataset page: https://huggingface.co/datasets/msepulvedagodoy/acdc.ACDC
General information
The overall ACDC dataset was created from real clinical exams acquired at the University Hospital of Dijon. Acquired data were fully anonymized and handled within the regulations set by the local ethical committee of the Hospital of Dijon (France). Our dataset covers several well-defined pathologies with enough cases to (1) properly train machine learning methods and (2) clearly assess the variations of the main physiological parameters obtained from cine-MRI (in… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/ACDC.acdc-cycleganACDC
ACDC Dataset
This is a pre-processed version of the original
Automated Cardiac Diagnosis Challenge (ACDC) dataset.
Short-axis view images have been resampled to 1mm x 1mm x 10mm. Images have also been center cropped at the left
ventricle mask center. The size of each slice is 192 x 192 pixels.
Download the dataset using the following command:
from huggingface_hub import snapshot_download
data_dir = snapshot_download(repo_id="mathpluscode/ACDC", allow_patterns=["*.nii.gz", "*.csv"]… See the full description on the dataset page: https://huggingface.co/datasets/mathpluscode/ACDC.cardiac_cine_acdc
ACDC (Cardiac Cine-MRI)
ACDC (Automatic Cardiac Diagnosis Challenge, MICCAI 2017) is a cine‑MRI dataset for cardiac segmentation.This repository contains processed NIfTI files in Data/processed_output/acdc format.
Dataset Summary
Modality: Cardiac cine‑MRI (NIfTI)
Task: Segmentation of LV, RV, and myocardium
Frames: ED/ES + full SAX time series (sax_t)
Labels: LV/RV cavities + myocardium
Splits: train, test (as provided in processed output)
Data Structure (per… See the full description on the dataset page: https://huggingface.co/datasets/viennh2012/cardiac_cine_acdc.ACDC
This dataset was used for DINO-AugSeg (paper: https://arxiv.org/abs/2601.08078)
Source code is available on GitHub (https://github.com/apple1986/DINO-AugSeg/tree/main)
