GUNDUA-HLANGANISA: COVID-19 DIAGNOSIS USING ASSEMBLING METHOD FOR IMAGERY

GUNDUA-HLANGANISA: COVID-19 DIAGNOSIS USING ASSEMBLING METHOD FOR IMAGERY

Assignment

Title

imagery data identification

Description

Can you please try some dataset from Africa countries. radiology data, patient COVID-19 -Murphy et al (202) evaluated the performance of an artificial intelligence (AI) system for detection of COVID-19 pneumonia on chest radiographs. interpretation of data was catagorised: (0) Normal: No finding, (1) Abnormal but no long opacity consistent with pneumonia, (2) Lung Opacity consistent with pneumonia (unlikely COVID-19), (3) Lung Opacity consistent with pneumonia (consistent with COVID-19). Results indicated that the AI system for detection of COVID-19 on chest radiographs was comparable to six independant readers. -CECILIA (2020) reported , Alibaba Group’s research and innovation institute DAMO Academy developed the AI system identifies the novel virus through computed tomography scans of the chest. The algorithm were trained with data and CT scans and from more than 5,000 confirmed coronavirus cases so far.

Assignee

Nonsikelelo Precious Mthethwa