Deep Learning Model for Grading Metastatic Epidural Spinal Cord Compression on Staging CT.
James Thomas Patrick Decourcy HallinanLei ZhuWenqiao ZhangTricia KuahDesmond Shi Wei LimXi Zhen LowAmanda J L ChengSterling Ellis EideHan Yang OngFaimee Erwan Muhamat NorAhmed Mohamed AlsooretiMona I AlMuhaishKuan Yuen YeongEe Chin TeoNesaretnam Barr KumarakulasingheQai Ven YapYiong-Huak ChanShuxun LinJiong Hao TanNaresh KumarBalamurugan A VellayappanBeng Chin OoiSwee Tian QuekAndrew MakmurPublished in: Cancers (2022)
DL models for the MESCC classification on a CT showed comparable to superior interobserver agreement to radiologists and could be used to aid earlier diagnosis.
Keyphrases
- spinal cord
- deep learning
- image quality
- artificial intelligence
- dual energy
- computed tomography
- contrast enhanced
- machine learning
- squamous cell carcinoma
- spinal cord injury
- small cell lung cancer
- positron emission tomography
- convolutional neural network
- lymph node
- magnetic resonance imaging
- pet ct
- magnetic resonance