Semi-supervised COVID-19 CT image segmentation using deep generative models

Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

(2021) Daryl L. X. Fung et al.   Journal of Translational Medicine

Deep Co-Training for Semi-Supervised Image Segmentation

(2020) Jizong Peng et al.   PATTERN RECOGNITION

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

(2020) Deng-Ping Fan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Abnormal Lung Quantification in Chest CT Images of COVID‐19 Patients with Deep Learning and its Application to Severity Prediction

(2020) Fei Shan et al.   MEDICAL PHYSICS

Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency

(2019) Sudhanshu Mittal et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE