Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation

Abstract Artificial intelligence (AI) applications in medical imaging continue facing the difficulty in collecting and using large datasets. One method proposed for solving this problem is data augmentation using fictitious images generated by generative adversarial networks (GANs). However, applyin...

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Bibliographic Details
Main Authors: Ryo Toda, Atsushi Teramoto, Masashi Kondo, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16861-5