Segmentation of the cervical lesion region in colposcopic images based on deep learning

HIGHLIGHTS

• who: Hui Yu from the Fudan University, China have published the Article: Segmentation of the cervical lesion region in colposcopic images based on deep learning, in the Journal: (JOURNAL)
• what: In this paper, a deep learning method named cervical lesion segmentation model (CLS-Model) was proposed to segment the Frontiers in Oncology EfficientNet uses MBConv in MobileNetV2 as the backbone network of the model, and the squeeze and scheduling method in SENet is used to optimize the network structure. The model had a total of 34 layers, and only the one before the 28th layer . . .
  

   

  

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