SinGAN-Seg: Synthetic training data generation for medical image segmentation.

SinGAN-Seg: Synthetic training data generation for medical image segmentation.

Show other versions (1)

Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Therefore, artificial intelligence has become a popular tool for the automatic processing of medical data, acting as a supportive...

Full description

Bibliographic Details
Main Authors: Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven A Hicks, Hugo L Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A Riegler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0267976

Internet

https://doi.org/10.1371/journal.pone.0267976

Similar Items