Cover Image

AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qu, Chongyu, Zhang, Tiezheng, Qiao, Hualin, Liu, Jie, Tang, Yucheng, Yuille, Alan, Zhou, Zongwei
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
by: Zhang, Tiezheng, et al.
Published: (2024)

AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking
by: Li, Wenxuan, et al.
Published: (2024)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
by: Liu, Jie, et al.
Published: (2023)

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
by: Liu, Jie, et al.
Published: (2024)

Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
by: Ma, Jun, et al.
Published: (2024)

Large-Scale Label Quality Assessment for Medical Segmentation via a Vision-Language Judge and Synthetic Data
by: Chen, Yixiong, et al.
Published: (2026)

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
by: Li, Wenxuan, et al.
Published: (2025)

Embracing Massive Medical Data
by: Chou, Yu-Cheng, et al.
Published: (2024)

From Pixel to Cancer: Cellular Automata in Computed Tomography
by: Lai, Yuxiang, et al.
Published: (2024)

Structure-Aware Sparse-View X-ray 3D Reconstruction
by: Cai, Yuanhao, et al.
Published: (2023)

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
by: Zhuang, Yan, et al.
Published: (2024)

Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation
by: Wang, Yuran, et al.
Published: (2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
by: Jha, Debesh, et al.
Published: (2024)

Analyzing Tumors by Synthesis
by: Chen, Qi, et al.
Published: (2024)

ShapeKit
by: Liu, Junqi, et al.
Published: (2025)

Towards Generalizable Tumor Synthesis
by: Chen, Qi, et al.
Published: (2024)

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
by: Xiang, Tiange, et al.
Published: (2024)

Visualization of Organ Movements Using Automatic Region Segmentation of Swallowing CT
by: Michiwaki, Yukihiro, et al.
Published: (2025)

Construction of an Organ Shape Atlas Using a Hierarchical Mesh Variational Autoencoder
by: Wang, Zijie, et al.
Published: (2025)

Learning Segmentation from Radiology Reports
by: Bassi, Pedro R. A. S., et al.
Published: (2025)

HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
by: Cai, Yuanhao, et al.
Published: (2024)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
by: Ciausu, Cosmin, et al.
Published: (2024)

PanTS: The Pancreatic Tumor Segmentation Dataset
by: Li, Wenxuan, et al.
Published: (2025)

MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation
by: Ghouse, Hania, et al.
Published: (2025)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
by: Lin, Tianyu, et al.
Published: (2025)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model
by: Guo, Pengfei, et al.
Published: (2025)

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
by: Li, Zi, et al.
Published: (2024)

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
by: Hou, Benjamin, et al.
Published: (2024)

Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning
by: Zhou, Jianxin, et al.
Published: (2024)

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
by: Ye, Zanting, et al.
Published: (2025)

Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans
by: Shastry, Praveen, et al.
Published: (2025)

Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
by: Yamagishi, Yosuke, et al.
Published: (2024)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
by: Huang, Ziyan, et al.
Published: (2023)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, et al.
Published: (2025)

MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation
by: Zeng, Yucheng
Published: (2025)

Limited-Angle CT Reconstruction Using Multi-Volume Latent Consistency Model
by: Isogai, Hinako, et al.
Published: (2026)

Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets
by: Chen, Yixiong, et al.
Published: (2024)

CTseg: A Tool for Brain CT Segmentation, Spatial Normalisation, and Volumetrics
by: Brudfors, Mikael
Published: (2026)

RadGPT: Constructing 3D Image-Text Tumor Datasets
by: Bassi, Pedro R. A. S., et al.
Published: (2025)