Automatic and efficient prediction of hematoma expansion in patients with hypertensive intracerebral hemorrhage using deep learning based on ct images

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  • who: Chao Ma and colleagues from the Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Interventional Neuroradiology Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China have published the article: Automatic and Efficient Prediction of Hematoma Expansion in Patients with Hypertensive Intracerebral Hemorrhage Using Deep Learning Based on CT Images, in the Journal: (JOURNAL)
  • what: This model proposed an Attention Gate (AG) structure, which is connected at the end of each skip connection to implement the attention mechanism for the extracted features. This study compared it with the aforementioned models, such as . . .

     

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