Cargando…

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

Medical image analysis plays an important role in clinical diagnosis. In this paper, we examine the recent Segment Anything Model (SAM) on medical images, and report both quantitative and qualitative zero-shot segmentation results on nine medical image segmentation benchmarks, covering various imagi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shi, Peilun, Qiu, Jianing, Abaxi, Sai Mu Dalike, Wei, Hao, Lo, Frank P.-W., Yuan, Wu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252742/ https://www.ncbi.nlm.nih.gov/pubmed/37296799 http://dx.doi.org/10.3390/diagnostics13111947

Ejemplares similares

Improving Existing Segmentators Performance with Zero-Shot Segmentators
por: Nanni, Loris, et al.
Publicado: (2023)

Enhancing Agricultural Image Segmentation with an Agricultural Segment Anything Model Adapter
por: Li, Yaqin, et al.
Publicado: (2023)

Zero-shot personalization of speech foundation models for depressed mood monitoring
por: Gerczuk, Maurice, et al.
Publicado: (2023)

Initial segments of degrees below zero
por: Epstein, Richard L
Publicado: (1981)

Bidirectional meta-Kronecker factored optimizer and Hausdorff distance loss for few-shot medical image segmentation
por: Kim, Yeongjoon, et al.
Publicado: (2023)

Zero to maker: learn (just enough) to make (just about) anything
por: Lang, David
Publicado: (2013)

A porosity model for medical image segmentation of vessels
por: Goodarzi Ardakani, Vahid, et al.
Publicado: (2022)

Griottes: a generalist tool for network generation from segmented tissue images
por: Ronteix, Gustave, et al.
Publicado: (2022)

The Medical Segmentation Decathlon
por: Antonelli, Michela, et al.
Publicado: (2022)

Detecting Errors with Zero-Shot Learning
por: Wu, Xiaoyu, et al.
Publicado: (2022)

A combined deformable model and medical transformer algorithm for medical image segmentation
por: Tang, Zhixian, et al.
Publicado: (2022)

A new solution model for cardiac medical image segmentation
por: Shang, Hailong, et al.
Publicado: (2020)

Narrow Band Active Contour Attention Model for Medical Segmentation
por: Le, Ngan, et al.
Publicado: (2021)

Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition
por: Wu, Tong, et al.
Publicado: (2020)

CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms
por: Li, Yongge, et al.
Publicado: (2023)

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models
por: Alsentzer, Emily, et al.
Publicado: (2023)

Few-shot segmentation with duplex network and attention augmented module
por: Zeng, Sifu, et al.
Publicado: (2023)

CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation
por: Guo, Shi-Cheng, et al.
Publicado: (2023)

A fast blind zero-shot denoiser
por: Lequyer, Jason, et al.
Publicado: (2022)

Zero-shot stance detection: Paradigms and challenges
por: Allaway, Emily, et al.
Publicado: (2023)

Zero to infinity: the foundations of physics
por: Rowlands, Peter
Publicado: (2007)

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
por: Savelka, Jaromir, et al.
Publicado: (2023)

An Improved Random Walker with Bayes Model for Volumetric Medical Image Segmentation
por: Dong, Chunhua, et al.
Publicado: (2017)

One-Shot Learning With Attention-Guided Segmentation in Cryo-Electron Tomography
por: Zhou, Bo, et al.
Publicado: (2021)

A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors
por: Balasundaram, Ananthakrishnan, et al.
Publicado: (2023)

Zero-Shot Medical Image Retrieval for Emerging Infectious Diseases Based on Meta-Transfer Learning — Worldwide, 2020
por: Zhao, Yuying, et al.
Publicado: (2020)

Generalized Zero-Adjusted Models to Predict Medical Expenditures
por: Xu, Xin, et al.
Publicado: (2021)

HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning
por: Al Machot, Fadi, et al.
Publicado: (2022)

Zero-shot transfer learned generic AI models for prediction of optimally ripe climacteric fruits
por: Dutta, Jayita, et al.
Publicado: (2023)

Automated medical image segmentation techniques
por: Sharma, Neeraj, et al.
Publicado: (2010)

MIRD-Net for Medical Image Segmentation
por: Huang, Yongfeng, et al.
Publicado: (2020)

Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization
por: Goodwin, Travis R., et al.
Publicado: (2020)

Semantic and structural image segmentation for prosthetic vision
por: Sanchez-Garcia, Melani, et al.
Publicado: (2020)

Deep Vision for Breast Cancer Classification and Segmentation
por: Fulton, Lawrence, et al.
Publicado: (2021)

Vision Transformers for Lung Segmentation on CXR Images
por: Ghali, Rafik, et al.
Publicado: (2023)

Active Contour Model Coupling with Higher Order Diffusion for Medical Image Segmentation
por: Wang, Guodong, et al.
Publicado: (2014)

Medical image segmentation model based on triple gate MultiLayer perceptron
por: Yan, Jingke, et al.
Publicado: (2022)

Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
por: Zambrano-Vizuete, Marcelo, et al.
Publicado: (2022)

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
por: Ahmad, Mubashir, et al.
Publicado: (2022)

Anything for Billy /
por: McMurtry, Larry
Publicado: (1989)

Cannot write session to /tmp/vufind_sessions/sess_91fm9i4o83u9f7f2rdcfe1p4d0