GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features

A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images

(2021) Athanasios Voulodimos et al.   SENSORS

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

(2021) Xiaoming Liu et al.   PATTERN RECOGNITION

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

(2021) Chen Zhao et al.   PATTERN RECOGNITION

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images

(2021) Nan Mu et al.   PATTERN RECOGNITION

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

(2021) Lucas O. Teixeira et al.   SENSORS

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

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

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

The ensemble deep learning model for novel COVID-19 on CT images

(2020) Tao Zhou et al.   APPLIED SOFT COMPUTING

Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images

(2020) Adel Oulefki et al.   PATTERN RECOGNITION

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

(2018) Huazhu Fu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING