Classification of uterine artery angiographic images: a predictive factor of failure in uterine artery embolization for postpartum hemorrhage.

Eisuke UeshimaKoji SugimotoTakuya OkadaNaoto KatayamaYutaka KoideKeitaro SofueMayumi MorizaneKenji TanimuraMasashi DeguchiMasato Yamaguchi

Published in: Japanese journal of radiology (2018)

The UA classification is an independent predictive factor of the clinical success rate of the primary UAE session for PPH; thus, it is an intuitive and optimal predictor for interventional radiologists to decide whether additional therapy is necessary.

Keyphrases

deep learning
artificial intelligence
machine learning
convolutional neural network
high intensity
transcranial direct current stimulation
stem cells
smoking cessation