Selected article for: "AI system and CT volume"
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_57
    Snippet: The proposed AI system takes as input a whole CT volume and outputs COVID-19 diagnosis along with abnormal slices (if diagnosed as positive). The whole system consists of five parts: lung segmentation block, COVID-19 classification network, abnormal slice locating block for COVID-19 positives, AI system interpreting block using Guided Grad-CAM, and feature analysis block. The first four blocks are deep-learning based blocks and the last one is tr.....
    Document: The proposed AI system takes as input a whole CT volume and outputs COVID-19 diagnosis along with abnormal slices (if diagnosed as positive). The whole system consists of five parts: lung segmentation block, COVID-19 classification network, abnormal slice locating block for COVID-19 positives, AI system interpreting block using Guided Grad-CAM, and feature analysis block. The first four blocks are deep-learning based blocks and the last one is traditional feature extraction block.

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