Work

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-43904-9_64

Authors: Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang

Institutions: The University of Texas at Austin, Texas A&M University, Weill Cornell Medicine, National Institutes of Health, National Institutes of Health Clinical Center

Language: English

Topic: Advanced Neural Network Applications

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 Eye Institute, U.S. National Library of Medicine, NIH Clinical Center

Awards: Achieving Model Fairness on Automatic Primary Open-angle Glaucoma Screening, A framework to enhance radiology structured report by invoking NLP and DL: Models and Applications, CAREER: Knowledge-enhanced and interpretable radiology report generation, G6671297155

OpenAlex ID: W4387211915

FWCI: 1.324

Cites: 32

Cited by: 13

Related to: 10