Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients

HIGHLIGHTS

• What: EfficientNet V2 represents an upgraded version of the deep neural_network model developed by Google, with the primary goal of further enhancing model efficiency and performance.
• Who: Jingjing Zhang from the Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People`s Republic of China have published the Article: Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients, in the Journal: (JOURNAL)
• How: The authors employed the recently introduced lightweight deep learning network known as EfficientNet V2 . The authors investigated the efficacy of the nomogram model . . .
  

   

  

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