Contour-enhanced attention CNN for CT-based COVID-19 segmentation

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

(2021) Kelei He et al.   PATTERN RECOGNITION

Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management

(2020) Yan Li et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Clinical Characteristics of Coronavirus Disease 2019 in China

(2020) Wei-jie Guan et al.   NEW ENGLAND JOURNAL OF MEDICINE

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images

(2020) Jing Zhang et al.   Remote Sensing

CT imaging features of 4121 patients with COVID‐19: A meta‐analysis

(2020) Jieyun Zhu et al.   JOURNAL OF MEDICAL VIROLOGY

A role for CT in COVID-19? What data really tell us so far

(2020) Michael D Hope et al.   LANCET

Chest CT Features of COVID-19 in Rome, Italy

(2020) Damiano Caruso et al.   RADIOLOGY

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

(2020) Xi Ouyang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

(2020) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

(2020) Longxi Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Cross-modality deep feature learning for brain tumor segmentation

(2020) Dingwen Zhang et al.   PATTERN RECOGNITION

SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation

(2020) Peng Zhao et al.   Frontiers in Bioengineering and Biotechnology

Multi-Scale Self-Guided Attention for Medical Image Segmentation

(2020) Ashish Sinha et al.   IEEE Journal of Biomedical and Health Informatics

SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images

(2020) Shouvik Chakraborty et al.   EXPERT SYSTEMS WITH APPLICATIONS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

TGV Upsampling: A Making-Up Operation for Semantic Segmentation

(2019) Xu Yin et al.   Computational Intelligence and Neuroscience

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

(2019) Hui Sun et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep gated attention networks for large-scale street-level scene segmentation

(2018) Pingping Zhang et al.   PATTERN RECOGNITION