Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
出版年份 2021 全文链接
标题
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
作者
关键词
COVID-19, Lungs, Computed tomography, X-ray, Explainable AI, Deep learning
出版物
PATTERN RECOGNITION
Volume 118, Issue -, Pages 108035
出版商
Elsevier BV
发表日期
2021-05-22
DOI
10.1016/j.patcog.2021.108035
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic medical image interpretation: State of the art and future directions
- (2021) Hareem Ayesha 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
- Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
- (2020) Victor M Corman et al. Eurosurveillance
- Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing
- (2020) Xingzhi Xie et al. RADIOLOGY
- Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
- (2020) Yicheng Fang et al. RADIOLOGY
- CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
- (2020) Michael Chung et al. RADIOLOGY
- Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
- (2020) Chunqin Long et al. EUROPEAN JOURNAL OF RADIOLOGY
- Explainable skin lesion diagnosis using taxonomies
- (2020) Catarina Barata et al. PATTERN RECOGNITION
- Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
- (2020) Harrison X. Bai et al. RADIOLOGY
- Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays
- (2020) Nikos Tsiknakis et al. Experimental and Therapeutic Medicine
- Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
- (2020) Adam Jacobi et al. CLINICAL IMAGING
- Automated detection of COVID-19 cases using deep neural networks with X-ray images
- (2020) Tulin Ozturk et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
- (2020) Zhongyi Han et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
- (2020) Ferhat Ucar et al. MEDICAL HYPOTHESES
- Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
- (2020) Ho Yuen Frank Wong et al. RADIOLOGY
- The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department
- (2020) Zixing Huang et al. Journal of the American College of Radiology
- Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
- (2020) O.S. Albahri et al. Journal of Infection and Public Health
- COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
- (2020) S. Tabik et al. IEEE Journal of Biomedical and Health Informatics
- Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis
- (2020) Xi Ouyang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images
- (2019) Yunyun Yang et al. PATTERN RECOGNITION
- An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
- (2019) Johnatan Carvalho Souza et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning for image-based cancer detection and diagnosis − A survey
- (2018) Zilong Hu et al. PATTERN RECOGNITION
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- (2018) Awni Y. Hannun et al. NATURE MEDICINE
- Automated breast cancer detection and classification using ultrasound images: A survey
- (2009) H.D. Cheng et al. PATTERN RECOGNITION
- The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
- (2009) Alessandro Liberati et al. PLOS MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now