Login / Signup

Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.

Jiejin YangZeyang ChenWeipeng LiuXiangpeng WangShuai MaFeifei JinXiaoying Wang
Published in: Korean journal of radiology (2020)
We developed and preliminarily verified the GIST mitotic count binary prediction model, based on the VGG convolutional neural network. The model displayed a good predictive performance.
Keyphrases
  • convolutional neural network
  • deep learning
  • cell cycle
  • ionic liquid
  • peripheral blood
  • artificial intelligence
  • machine learning
  • cell proliferation