Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networksResearch article Published on 2021-04-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy automated average being chain Chest chest radiology Chest radiology images CNN COVID-19 COVID-19 detection dataset Department detect develop Diagnosis disease Diseases early stage hospital hospitals machine learning network Neural Non-invasive PCR radiology reaction required Research sensitivity specificity Ultrasound Victoria Volume [DOI] 10.1016/j.bspc.2021.102490 [Article Type] Research article
Automated detection of COVID-19 from CT scan using convolutional neural networkResearch article Published on 2021-04-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] Accuracy Algorithm approach artificial intelligence automated average baseline binary classification can be used categories CNN conducted Convolutional neural network COVID-19 CT scan CT Scan images CT scans deep detect develop diagnostic capabilities early diagnosis Effectiveness Experimental result global pandemic IMPROVE Isolation learning network Neural normal ResNet50 stratified transfer learning VGG16 [DOI] 10.1016/j.bbe.2021.04.006 [Article Type] Research article
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism통합 주의 메커니즘으로 시맨틱 분할을 이용하는 CT 슬라이스의 효율적인 COVID-19 분할Article Published on 2021-04-012022-09-11 Journal: Journal of digital imaging [Category] SARS, 치료기술, [키워드] Accuracy arising Attention Attention-based SegNet auxiliary carried caused CNN Computerized tomography consolidation Convolutional neural network Convolutional neural network. COVID-19 COVID-19 infection COVID-19 segmentation crazy-paving pattern database detect Diagnosis Dice distribution effective efficient evaluated experiment function global public health ground-glass opacity information lesions lung mechanism pandemic patchy Patient pneumonia case Precision Predictive predominant Previous studies previous study Region reported Segmentation sensitivity slice specificity Spread Stage the disease thought tomography [DOI] 10.1007/s10278-021-00434-5 PMC 바로가기 [Article Type] Article
Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study디지털 폐 청진에서 COVID-19에 대한 딥 러닝 진단 및 위험 계층화 패턴 감지: 사례-대조군 및 전향적 코호트 연구를 위한 임상 프로토콜Clinical Trial Published on 2021-03-242022-09-01 Journal: BMC Pulmonary Medicine [Category] 임상, 진단, [키워드] acquisition age Algorithm Analysis approach artificial intelligence asked Auscultation automated autonomous baseline blinded Care categories category Classifier Clinical data Clinical diagnosis CNN collected Convolutional neural network COVID COVID-19 COVID-19 testing criteria death Decision-making deep deep learning Demographic and clinical data diagnosed diagnosing diagnostic digitization discharge disease Geneva University Hospitals healthcare help hospitalisation Inclusion Infectious disease Infectious diseases Inpatient Inpatients internal medicine Interpretation intubation lung medical history Mild Nasopharyngeal swab network Neural outcome Patient physician Pneumonia positive prognostic prospective cohort study protocol random recorded recruited respiratory Respiratory disease Respiratory sounds risk stratification RT-PCR severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Sex Signs and symptoms subset supplementary material support vector machine Symptom Telemedicine Thoracic Trial registration [DOI] 10.1186/s12890-021-01467-w PMC 바로가기 [Article Type] Clinical Trial
Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT흉부 CT 기반 코로나19 폐렴 진단을 위한 하이퍼파라미터 최적화Communication Published on 2021-03-202022-09-12 Journal: Sensors (Basel, Switzerland) [Category] Coronavirus, 진단, [키워드] Accuracy Algorithm applied architecture backbone chain Chain Reaction CNN CNNs Combination Computed tomography computer-aided diagnosis COVID-19 deep learning Diagnosis disease Diseases FIVE hyperparameter optimization medical diagnosis network Neural Neuron neurons optimization performed polymerase chain reaction Precision reaction RT-PCR sensitivity was performed [DOI] 10.3390/s21062174 PMC 바로가기 [Article Type] Communication
COVID‐19 disease severity assessment using CNN modelOriginal Research Paper Published on 2021-03-072022-10-30 Journal: Iet Image Processing [Category] COVID-19, [키워드] Accuracy Affect approach automated automatically average Chest clinician CNN contagious COVID‐19 COVID‐19 patient Critical dataset disease disease severity Effectiveness Experimental result implementation intensive care unit knowledge mechanical ventilator Mild moderate Novel coronavirus pandemic Patient produced Prognosis radiologist severity Stage the patient Treatment [DOI] 10.1049/ipr2.12153 PMC 바로가기 [Article Type] Original Research Paper
A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID-19COVID-19의 피부 발현 인식을 위한 컨볼루션 신경망 아키텍처Article Published on 2021-03-012022-09-11 Journal: Dermatologic therapy [Category] SARS, 치료기술, [키워드] Accuracy Algorithm array artificial intelligence automated best bullous bullous pemphigoid Classifier CNN color conditions Convolutional neural network COVID-19 COVID-19 cutaneous manifestations COVID-19 pandemic COVID-19 positive patients COVID-19 skin lesions cutaneous manifestation Cutaneous manifestations deep learning demonstrated differential diagnosis Diseases evaluate generate healthy control healthy controls herpes zoster knowledge network Neural NPV Patient care pemphigoid physician pityriasis pityriasis rosea Positive predictive value Predictive value psoriasis Rash reported robust sensitivity Sensitivity and specificity skin skin lesion skin lesions specificity Support the disease urticaria varicella [DOI] 10.1111/dth.14902 PMC 바로가기 [Article Type] Article
Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biasesResearch Article Published on 2021-03-012022-10-28 Journal: PLoS ONE [Category] COVID-19, [키워드] Accuracy addition Analysis approach binary classification Characteristics Chest X-ray image CNN Convolutional neural network COVID-19 COVID-19 diagnosis database dataset datasets develop diagnose diagnosis of COVID-19 effort Evaluating infected patient less methodology noninvasive Patient performed Pneumonia Precision Prevent provided radiological reduced SARS-CoV-2 Scientific community sick Spread Support treat virus with COVID-19 [DOI] 10.1371/journal.pone.0247839 PMC 바로가기 [Article Type] Research Article
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs컴퓨터 단층 촬영 폐에서 COVID-19 폐렴에 대한 비COVID-19 폐렴의 조직 특성화 및 분류를 위한 6가지 인공 지능 패러다임Article Published on 2021-03-012022-09-11 Journal: International Journal of Computer Assisted Radiolo [Category] SARS, 치료기술, [키워드] Accuracy Analysis artificial intelligence AUC automatically Bispectrum characterisation classification CNN Cohort Computed tomography computer computer tomography consolidations COVID COVID pneumonia COVID-19 COVID-19 pandemic deep deep learning feasible feature GGO Ground-glass opacities ground-glass opacity high correlation Hypothesis hypothesise Inference Italian lung machine machine learning mechanism Non-COVID-19 offer p-values pandemic Patient patients performance pleural effusion Pneumonia protocol radiological risk separated severity Stratification suggested the disease tissue transfer transfer learning Vaccines validation was used [DOI] 10.1007/s11548-021-02317-0 PMC 바로가기 [Article Type] Article
Detecting SARS-CoV-2 From Chest X-Ray Using Artificial IntelligenceBiomedical Engineering Published on 2021-02-232022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] 95% confidence interval Accuracy artificial artificial intelligence caused Chest radiograph chest X-ray Chest X-ray images CNN Confidence intervals coronavirus coronavirus 2 COVID-19 dataset datasets deep deep learning demonstrated detect diagnose Effectiveness evaluated identify imbalanced data intelligence network Neural patients patients with COVID-19 Pilot test Precision presenting question recall reported respiratory Result SARS-CoV-2 SARS-COV-2 infection small data Still Symptom the disease [DOI] 10.1109/ACCESS.2021.3061621 PMC 바로가기 [Article Type] Biomedical Engineering