Work

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-72384-1_37

Authors: Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz

Institution: Vanderbilt University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: FMitF: Track I: Generative Neural Network Verification in Medical Imaging Analysis, : Clinical Outcomes in Aicardi Goutières Syndrome, A placenta-based strategy for improved clinical prediction of fetal growth trajectory using automated image analysis of placental morphology and vascularity

OpenAlex ID: W4403071691

FWCI: 2.217

Cites: 34

Cited by: 12

Related to: 10