Concepedia

ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images

Sanjib Saha, Subhadeep Dutta, Biswarup Goswami, Debashis Nandi

Biomedical Signal Processing and Control · 2023 · 29 citations · 46 references

Open access

Concepts

MedicineBiomedical EngineeringRadiologyComputer VisionDiagnostic ImagingDiagnostic RadiologyChest RadiologyChest X-ray InterpretationComputed TomographyMedical Image AnalysisMedical ImagingVolume SegmentationConvolutional Neural Network DetectionConvolutional Neural Network SegmentationDeep Learning In RadiologyDeep Learning-based Lesion ClassificationLesion DetectionLesion Segmentation

References

46

A systematic analysis of performance measures for classification tasks

Marina Sokolova, Guy Lapalme · Information Processing & Management · 2009 · 6.5K citations

Computing, Computer Science, Machine Learning +15

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

Tao Ai, Zhenlu Yang, Hongyan Hou et al. · Radiology · 2020 · 6K citations · Full text

Medicine, Infectious Diseases, Radiology +17

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

Joseph T. Wu, Kathy Leung · The Lancet · 2020 · 4.9K citations · Full text

Veterinary Medicine, Infectious Diseases, Urban Health +17

Attention U-Net: Learning Where to Look for the Pancreas

Ozan Oktay, Jo Schlemper, Loïc Le Folgoc et al. · arXiv (Cornell University) · 2018 · 4.6K citations · Full text

Computing, Computer Science, Radiology +17

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

Yicheng Fang, Jicheng Xie, Minjie Lin et al. · Radiology · 2020 · 3.6K citations · Full text

Veterinary Medicine, Infectious Diseases, Radiology +12