Work

Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

Year: 2018

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Simulation and Synthesis in Medical Imaging: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

DOI: 10.1007/978-3-030-00536-8_1

Authors: Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski

Institutions: Nvidia (United States), Massachusetts General Hospital, Mayo Clinic

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2884065486

FWCI: 20.87

Cites: 24

Cited by: 736

Related to: 10