An optimal artificial intelligence system for real-time endoscopic prediction of invasion depth in early gastric cancer

HIGHLIGHTS

• who: Jie-Hyun Kim and colleagues from the Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea have published the research work: An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer, in the Journal: Cancers 2022, 14, 6000. of /2022/
• what: The models were trained on dual NVIDIA GeForce RTX 3090 with 24 GB of CUDA memory for each, whereas an NVIDIA GeForce RTX 2080Ti with 11 GB of CUDA memory was used to evaluate the performance.
• how . . .
  

   

  

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