Virtual Interpolation Images of Tumor Development and Growth on Breast Ultrasound Image Synthesis With Deep Convolutional Generative Adversarial Networks.

Tomoyuki FujiokaKazunori KubotaMio MoriLeona KatsutaYuka KikuchiKoichiro KimuraMizuki KimuraMio AdachiGoshi OdaTsuyoshi NakagawaYoshio KitazumeUkihide Tateishi

Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2020)

A DCGAN can generate high-quality synthetic breast ultrasound images of each pathologic tissue and has the potential to create realistic virtual interpolation images of tumor development.

Keyphrases

deep learning
convolutional neural network
optical coherence tomography
magnetic resonance imaging
neoadjuvant chemotherapy
ultrasound guided
machine learning
contrast enhanced ultrasound
squamous cell carcinoma
lymph node
climate change
risk assessment
neural network