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Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.

Takuma NakatsukaRyosuke TateishiMasaya SatoNatsuka HashizumeAmi KamadaHiroki NakanoYoshinori KabeyaSho YonezawaRie IrieHanako TsujikawaYoshio SumidaMasashi YonedaNorio AkutaTakumi KawaguchiHirokazu TakahashiYuichiro EguchiYuya SekoYoshito ItohEisuke MurakamiKazuaki ChayamaMakiko TaniaiKatsutoshi TokushigeTakeshi OkanoueMichiie SakamotoMitsuhiro FujishiroKazuhiko Koike
Published in: Hepatology (Baltimore, Md.) (2024)
The ability of the DL model to capture subtle pathological features beyond fibrosis suggests its potential for identifying early signs of hepatocarcinogenesis in patients with steatotic liver disease.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning