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COVID-19 Image Segmentation

3 papers with code · Computer Vision

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Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

Radiology 2020 bkong999/COVNet

Materials and Methods In this retrospective and multi-center study, a deep learning model, COVID-19 detection neural network (COVNet), was developed to extract visual features from volumetric chest CT exams for the detection of COVID-19.

COVID-19 IMAGE SEGMENTATION

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

10 Mar 2020jannisborn/covid19_pocus_ultrasound

The performance of the system was evaluated by comparing the automatically segmented infection regions with the manually-delineated ones on 300 chest CT scans of 300 COVID-19 patients.

COVID-19 IMAGE SEGMENTATION

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT

RSNA 2020 robinwang08/COVID19

Summary AI assistance improved radiologists’ performance in distinguishing COVID-19 from pneumonia of other etiology on chest CT.

COVID-19 DIAGNOSIS COVID-19 IMAGE SEGMENTATION