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Deep learning-assisted distinguishing breast phyllodes tumors from fibroadenomas based on ultrasound images: a diagnostic study.

Yuqi YanYuanzhen LiuJincao YaoLin SuiChen ChenTian JiangXiaofang LiuYifan WangDi OuJing ChenHui WangLina FengQianmeng PanYing SuYukai WangLiping WangLingyan ZhouDong Xu
Published in: The British journal of radiology (2024)
We developed and validated a DL model based on the largest available dataset to assist in diagnosing PTs. This model has the potential to allow radiologists to discriminate two types of breast tumors which are challenging to identify with precision and accuracy, and subsequently to make more informed decisions about surgical plans.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • magnetic resonance imaging
  • machine learning
  • health insurance
  • computed tomography
  • ultrasound guided
  • risk assessment
  • climate change