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COVID-19 Image Segmentation
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.