Selected article for: "lung segmentation block and segmentation block"
Author: Cheng Jin; Weixiang Chen; Yukun Cao; Zhanwei Xu; Xin Zhang; Lei Deng; Chuansheng Zheng; Jie Zhou; Heshui Shi; Jianjiang Feng
Title: Development and Evaluation of an AI System for COVID-19
  • Document date: 2020_3_23
    • ID: k1lg8c7q_59
    Snippet: The lung segmentation block is implemented based on Deeplab v1 [23] , which is a 2D semantic segmentation network. All CTs are in 3D, so we trained and tested the segmentation model slice by slice. The training slices were extracted from chest CTs in the training cohort and annotations of lung segmentation were obtained manually. The segmentation results were used as masks to determined lung areas, and they were concatenated to the raw CT slices .....
    Document: The lung segmentation block is implemented based on Deeplab v1 [23] , which is a 2D semantic segmentation network. All CTs are in 3D, so we trained and tested the segmentation model slice by slice. The training slices were extracted from chest CTs in the training cohort and annotations of lung segmentation were obtained manually. The segmentation results were used as masks to determined lung areas, and they were concatenated to the raw CT slices as a different channel before feeding into the next block. We used this input-with-mask method to improve diagnosis results which has better performance according to experiments.

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