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。SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors
Yutong Xie et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Victor M. Corman et al.
EUROSURVEILLANCE (2020)
Positive RT-PCR Test Results in Patients Recovered From COVID-19
Lan Lan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Presumed Asymptomatic Carrier Transmission of COVID-19
Yan Bai et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records
Huijun Chen et al.
LANCET (2020)
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression
Andrea Borghesi et al.
RADIOLOGIA MEDICA (2020)
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy et al.
RADIOLOGY (2020)
Digital technology and COVID-19
Daniel Shu Wei Ting et al.
NATURE MEDICINE (2020)
Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Adam Jacobi et al.
CLINICAL IMAGING (2020)
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning
Hengyuan Kang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Ho Yuen Frank Wong et al.
RADIOLOGY (2020)
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening
Luyang Luo et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Thomas Schlegl et al.
MEDICAL IMAGE ANALYSIS (2019)
Deep Segmentation-Emendation Model for Gland Instance Segmentation
Yutong Xie et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I (2019)
Deep Anomaly Detection with Deviation Networks
Guansong Pang et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel S. Kermany et al.
CELL (2018)
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
Sivaramakrishnan Rajaraman et al.
APPLIED SCIENCES-BASEL (2018)
Feedback-Guided Anomaly Discovery via Online Optimization
Md Amran Siddiqui et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
Guansong Pang et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Evidence for Camel-to-Human Transmission of MERS Coronavirus
Esam I. Azhar et al.
NEW ENGLAND JOURNAL OF MEDICINE (2014)
High discordance of chest x-ray and computed tomography for detection of pulmonary opacities in ED patients: implications for diagnosing pneumonia
Wesley H. Self et al.
AMERICAN JOURNAL OF EMERGENCY MEDICINE (2013)
One-Class versus Binary Classification: Which and When?
Colin Bellinger et al.
2012 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2012), VOL 2 (2012)
Anomaly detection
Varun Chandola et al.
ACM COMPUTING SURVEYS (2009)
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
WH Li et al.
NATURE (2003)
Estimating the support of a high-dimensional distribution
B Schölkopf et al.
NEURAL COMPUTATION (2001)
Imaging of pneumonia: trends and algorithms
T Franquet
EUROPEAN RESPIRATORY JOURNAL (2001)