Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Na, Saiyang, Guo, Yuzhi, Jiang, Feng, Ma, Hehuan, Huang, Junzhou |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
by: Chen, Zhen, et al.
Published: (2024)
by: Chen, Zhen, et al.
Published: (2024)
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
by: Shi, Xiaoyu, et al.
Published: (2023)
by: Shi, Xiaoyu, et al.
Published: (2023)
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
by: Xie, Zhaozhi, et al.
Published: (2024)
by: Xie, Zhaozhi, et al.
Published: (2024)
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)
by: Tu, Zhengzheng, et al.
Published: (2024)
Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)
by: Yu, Xinyi, et al.
Published: (2023)
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
by: Wang, Jiamu, et al.
Published: (2024)
by: Wang, Jiamu, et al.
Published: (2024)
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
by: Cui, Ziwei, et al.
Published: (2024)
by: Cui, Ziwei, et al.
Published: (2024)
SAMRI: Segment Any MRI
by: Wang, Zhao, et al.
Published: (2025)
by: Wang, Zhao, et al.
Published: (2025)
Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM
by: Liu, Xiaofeng, et al.
Published: (2024)
by: Liu, Xiaofeng, et al.
Published: (2024)
Is SAM 2 Better than SAM in Medical Image Segmentation?
by: Sengupta, Sourya, et al.
Published: (2024)
by: Sengupta, Sourya, et al.
Published: (2024)
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
by: Liu, Yihao, et al.
Published: (2023)
by: Liu, Yihao, et al.
Published: (2023)
SASVi -- Segment Any Surgical Video
by: Sivakumar, Ssharvien Kumar, et al.
Published: (2025)
by: Sivakumar, Ssharvien Kumar, et al.
Published: (2025)
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
by: Gu, Hanxue, et al.
Published: (2024)
by: Gu, Hanxue, et al.
Published: (2024)
Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation
by: Xinyi, Wang, et al.
Published: (2025)
by: Xinyi, Wang, et al.
Published: (2025)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
by: Xu, Qing, et al.
Published: (2024)
by: Xu, Qing, et al.
Published: (2024)
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2
by: Zhu, Mingyang, et al.
Published: (2025)
by: Zhu, Mingyang, et al.
Published: (2025)
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information
by: LaTorre, Antonio, et al.
Published: (2024)
by: LaTorre, Antonio, et al.
Published: (2024)
Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)
SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2
by: Xu, Guoping, et al.
Published: (2025)
by: Xu, Guoping, et al.
Published: (2025)
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery
by: Hanimann, Jacob, et al.
Published: (2025)
by: Hanimann, Jacob, et al.
Published: (2025)
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation
by: Tran, Dinh-Phu, et al.
Published: (2024)
by: Tran, Dinh-Phu, et al.
Published: (2024)
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
by: Xu, Liying, et al.
Published: (2025)
by: Xu, Liying, et al.
Published: (2025)
Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data
by: Chakrabarty, Satrajit, et al.
Published: (2025)
by: Chakrabarty, Satrajit, et al.
Published: (2025)
Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation
by: Jiang, Mingzhou, et al.
Published: (2024)
by: Jiang, Mingzhou, et al.
Published: (2024)
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
by: Cai, Pengzhou, et al.
Published: (2024)
by: Cai, Pengzhou, et al.
Published: (2024)
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
by: Tommasino, Cristian, et al.
Published: (2024)
by: Tommasino, Cristian, et al.
Published: (2024)
SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
by: Yang, Yeqing, et al.
Published: (2025)
by: Yang, Yeqing, et al.
Published: (2025)
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images
by: Zohranyan, Vazgen, et al.
Published: (2024)
by: Zohranyan, Vazgen, et al.
Published: (2024)
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation
by: Lou, Zhenye, et al.
Published: (2024)
by: Lou, Zhenye, et al.
Published: (2024)
RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024)
by: Chen, Wei-Ting, et al.
Published: (2024)
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, et al.
Published: (2024)
CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images
by: Lao, Daniel
Published: (2026)
by: Lao, Daniel
Published: (2026)
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
by: Qin, Chao, et al.
Published: (2024)
by: Qin, Chao, et al.
Published: (2024)
SAM3D: Segment Anything Model in Volumetric Medical Images
by: Bui, Nhat-Tan, et al.
Published: (2023)
by: Bui, Nhat-Tan, et al.
Published: (2023)
Segment anything model (SAM) for brain extraction in fMRI studies
by: Chenna, Dwith, et al.
Published: (2024)
by: Chenna, Dwith, et al.
Published: (2024)
RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
by: Feng, Anqi, et al.
Published: (2024)
by: Feng, Anqi, et al.
Published: (2024)
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
by: Wong, Hallee E., et al.
Published: (2023)
by: Wong, Hallee E., et al.
Published: (2023)
Similar Items
-
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
by: Chen, Zhen, et al.
Published: (2024) -
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
by: Shi, Xiaoyu, et al.
Published: (2023) -
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
by: Xie, Zhaozhi, et al.
Published: (2024) -
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024) -
Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)