Imagen de Portada

MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Koleilat, Taha, Asgariandehkordi, Hojat, Rivaz, Hassan, Xiao, Yiming
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
por: Koleilat, Taha, et al.
Publicado: (2024)

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
por: Koleilat, Taha, et al.
Publicado: (2026)

Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
por: Manzari, Omid Nejati, et al.
Publicado: (2025)

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models
por: Koleilat, Taha, et al.
Publicado: (2024)

Sparse Spectral LoRA: Routed Experts for Medical VLMs
por: Manzari, Omid Nejati, et al.
Publicado: (2026)

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values
por: Koleilat, Taha, et al.
Publicado: (2025)

Grounding DINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models
por: Rasaee, Hamza, et al.
Publicado: (2025)

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
por: Jin, Ruinan, et al.
Publicado: (2024)

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning
por: Koleilat, Taha, et al.
Publicado: (2026)

TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound
por: Spiegler, Pascal, et al.
Publicado: (2025)

Lightweight Physics-Aware Zero-Shot Ultrasound Plane-Wave Denoising
por: Asgariandehkordi, Hojat, et al.
Publicado: (2025)

Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models
por: Asgariandehkordi, Hojat, et al.
Publicado: (2024)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
por: Konwer, Aishik, et al.
Publicado: (2025)

Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
por: Hashmi, Anees Ur Rehman, et al.
Publicado: (2024)

Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning
por: Qiu, Zirui, et al.
Publicado: (2024)

MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
por: Zhang, Cenwei, et al.
Publicado: (2026)

Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation
por: Han, Qianhao, et al.
Publicado: (2024)

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
por: Towle, Benjamin, et al.
Publicado: (2025)

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
por: Colussi, Marco, et al.
Publicado: (2025)

Robust Box Prompt based SAM for Medical Image Segmentation
por: Huang, Yuhao, et al.
Publicado: (2024)

VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
por: Rokuss, Maximilian, et al.
Publicado: (2025)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
por: Wei, Xiaobao, et al.
Publicado: (2023)

LightMedSeg: Lightweight 3D Medical Image Segmentation with Learned Spatial Anchors
por: Tyagi, Kavyansh, et al.
Publicado: (2026)

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment
por: Li, Yuchen, et al.
Publicado: (2026)

BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts
por: Xu, Suzhe, et al.
Publicado: (2025)

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
por: Adityaja, A. Mudit, et al.
Publicado: (2024)

MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
por: Gao, Ziyuan
Publicado: (2026)

SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction
por: Towle, Benjamin, et al.
Publicado: (2024)

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
por: Mao, Jiawei, et al.
Publicado: (2025)

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
por: Wang, Haoyu, et al.
Publicado: (2023)

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities
por: Khattak, Muhammad Uzair, et al.
Publicado: (2024)

DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
por: Zhang, Wenjie, et al.
Publicado: (2025)

SAM 2: Segment Anything in Images and Videos
por: Ravi, Nikhila, et al.
Publicado: (2024)

CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
por: Xiao, Wenbo, et al.
Publicado: (2025)

Navigating Uncertainty in Medical Image Segmentation
por: Zepf, Kilian, et al.
Publicado: (2024)

Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
por: Kobayashi, Yuya, et al.
Publicado: (2025)

Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment
por: Lv, Song-Lin, et al.
Publicado: (2025)

MedIL: Implicit Latent Spaces for Generating Heterogeneous Medical Images at Arbitrary Resolutions
por: Spears, Tyler, et al.
Publicado: (2025)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
por: Roy, Saikat, et al.
Publicado: (2023)

Vision Transformer for Classification of Breast Ultrasound Images
por: Gheflati, Behnaz, et al.
Publicado: (2021)