Cover Image

SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Xian, Xiang, Yangyang, Wang, Zhehao, Cheng, Kwang-Ting, Yan, Zengqiang, Yu, Li
Format:	Preprint
Published:	2024
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

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
by: Lin, Xian, et al.
Published: (2023)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)

Non-parametric regularization for class imbalance federated medical image classification
by: Wicaksana, Jeffry, et al.
Published: (2024)

Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
by: Zhang, Dong, et al.
Published: (2025)

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification
by: Lin, Yi, et al.
Published: (2024)

A Study of Finetuning Video Transformers for Multi-view Geometry Tasks
by: Wu, Huimin, et al.
Published: (2025)

InstructSAM: Segment Any Instance with Any Instructions
by: Yuan, Yuqian, et al.
Published: (2026)

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
by: Wu, Nannan, et al.
Published: (2023)

Refer to Any Segmentation Mask Group With Vision-Language Prompts
by: Cao, Shengcao, et al.
Published: (2025)

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
by: Jiang, Xixi, et al.
Published: (2024)

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
by: Lin, Yi, et al.
Published: (2024)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
by: Cao, Yunkang, et al.
Published: (2023)

Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation
by: Yu, Qiyang, et al.
Published: (2025)

VoCap: Video Object Captioning and Segmentation from Any Prompt
by: Uijlings, Jasper, et al.
Published: (2025)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
by: Liu, Wenzhuo, et al.
Published: (2024)

AnyRefill: A Unified, Data-Efficient Framework for Left-Prompt-Guided Vision Tasks
by: Xie, Ming, et al.
Published: (2025)

PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates
by: Shi, Junjie, et al.
Published: (2024)

Segment Any Mesh
by: Tang, George, et al.
Published: (2024)

Segment Any Change
by: Zheng, Zhuo, et al.
Published: (2024)

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt
by: Chae, Joongwon, et al.
Published: (2025)

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
by: Li, Shuhan, et al.
Published: (2024)

Instruct2See: Learning to Remove Any Obstructions Across Distributions
by: Li, Junhang, et al.
Published: (2025)

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
by: Wu, Nannan, et al.
Published: (2024)

Segment Any Medical Model Extended
by: Liu, Yihao, et al.
Published: (2024)

SAP: Segment Any 4K Panorama
by: Jiang, Lutao, et al.
Published: (2026)

Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
by: Lin, Zhiwei, et al.
Published: (2024)

SAGOnline: Segment Any Gaussians Online
by: Sun, Wentao, et al.
Published: (2025)

Segment Any Events with Language
by: Lee, Seungjun, et al.
Published: (2026)

Segment Any Motion in Videos
by: Huang, Nan, et al.
Published: (2025)

Segment Any-Quality Images with Generative Latent Space Enhancement
by: Guo, Guangqian, et al.
Published: (2025)

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
by: Zhang, Weiming, et al.
Published: (2026)

Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
by: Zhou, Yu, et al.
Published: (2025)

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2023)

Memory Efficient Transformer Adapter for Dense Predictions
by: Zhang, Dong, et al.
Published: (2025)

Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
by: Li, Lin, et al.
Published: (2025)

Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
by: Dai, Weicheng, et al.
Published: (2026)

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
by: Zheng, Xu, et al.
Published: (2024)

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
by: Gu, Yi, et al.
Published: (2024)

Text as Any-Modality for Zero-Shot Classification by Consistent Prompt Tuning
by: Wu, Xiangyu, et al.
Published: (2025)

FreeTuner: Any Subject in Any Style with Training-free Diffusion
by: Xu, Youcan, et al.
Published: (2024)