Cover Image

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qi, Zhou, Xinze, Liu, Chen, Chen, Hao, Li, Wenxuan, Jiang, Zekun, Huang, Ziyan, Zhao, Yuxuan, Yu, Dexin, He, Junjun, Zheng, Yefeng, Shao, Ling, Yuille, Alan, Zhou, Zongwei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
by: Li, Wenxuan, et al.
Published: (2026)

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

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

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering
by: Chen, Yixiong, et al.
Published: (2025)

Beyond Masks: The Case for Medical Image Parsing
by: Gupta, Siddharth, et al.
Published: (2026)

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)

Meissa: Multi-modal Medical Agentic Intelligence
by: Chen, Yixiong, et al.
Published: (2026)

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents
by: Chen, Yixiong, et al.
Published: (2026)

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

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
by: Chou, Yu-Cheng, et al.
Published: (2023)

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

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

Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks
by: Bassi, Pedro R. A. S., et al.
Published: (2025)

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

Best Practices and Lessons Learned on Synthetic Data
by: Liu, Ruibo, et al.
Published: (2024)

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

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

AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
by: Qu, Chongyu, et al.
Published: (2023)

Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
by: Chen, Qi, et al.
Published: (2026)

Label Critic: Design Data Before Models
by: Bassi, Pedro R. A. S., et al.
Published: (2024)

Text-Driven Tumor Synthesis
by: Li, Xinran, et al.
Published: (2024)

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

Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges
by: Lubonja, Ariel, et al.
Published: (2025)

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling
by: Liu, Junqi, et al.
Published: (2026)

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression
by: Chen, Ziyan, et al.
Published: (2026)

FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
by: Wu, Linshan, et al.
Published: (2024)

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
by: Yang, Yijun, et al.
Published: (2025)

ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning
by: Wang, Yuxuan, et al.
Published: (2024)

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
by: Xiao, Junfei, et al.
Published: (2023)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
by: Shao, Minye, et al.
Published: (2025)

An O(1) Space Algorithm for N-Dimensional Tensor Rotation: A Generalization of the Reversal Method
by: Chen, Dexin
Published: (2025)

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
by: Sun, Zihong, et al.
Published: (2023)

ASAP: an Agentic Solution to Auto-optimize Performance of Large-Scale LLM Training
by: Ding, Yuran, et al.
Published: (2025)

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