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

Shi, Peilun; Qiu, Jianing; Abaxi, Sai Mu Dalike; Wei, Hao; Lo, Frank P-W; Yuan, Wu

Shi, Peilun; Qiu, Jianing; Abaxi, Sai Mu Dalike; Wei, Hao; Lo, Frank P-W; Yuan, Wu.

Afiliación

Shi P; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Qiu J; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Abaxi SMD; Department of Computing, Imperial College London, London SW7 2AZ, UK.
Wei H; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Lo FP; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Yuan W; Hamlyn Centre, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.

Diagnostics (Basel) ; 13(11)2023 Jun 02.

Article en En | MEDLINE | ID: mdl-37296799

Palabras clave

Segment Anything Model (SAM); deep Learning; foundation models; large AI models; medical image segmentation; zero-shot segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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