Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images노이즈 및 노이즈 제거 데이터를 사용한 학습-증강 전략: X선 이미지에서 COVID-19 감지를 위한 심층 CNN의 일반화 개선Article Published on 2021-09-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 변종, 치료기술, [키워드] approach Bayesian chest X-ray Chest X-ray images classification CNN COVID-19 data augmentation database deep deep learning develop distance fine-tune Generalizability generalization generate healthy IMPROVE Improving Learning-to-augment Noise parameters pneumonia cases positive robustness sensitivity source code specificity variant X-ray X-ray images. [DOI] 10.1016/j.compbiomed.2021.104704 PMC 바로가기 [Article Type] Article
Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset고유하게 수집된 X선 데이터 세트에 대한 전이 학습 및 Grad-CAM 시각화를 사용한 COVID-19 감지Article Published on 2021-08-292022-09-10 Journal: Sensors (Basel, Switzerland) [Category] MERS, SARS, 변종, 치료기술, [키워드] Accuracy Activation affected applied artificial intelligence calculated Chest chest radiographs chest X-ray Chest X-ray image Chest X-ray images classification CNN Confusion confusion matrices COVID-19 COVID-19 outbreak CT scan CT scans dataset detection diagnose Diagnosis early stages feature heatmap highlight Kaggle learning parameters Patient PCR test performed Precision recall Research specificity transfer transfer learning variant virus Visualization was collected were used X-ray X-ray images [DOI] 10.3390/s21175813 PMC 바로가기 [Article Type] Article
Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified MobileNetV2 and LIMEArticle Published on 2021-08-252022-10-31 Journal: International journal for equity in health [Category] COVID-19, [키워드] Accuracy Analysis approach AUC caused chest X-ray CNN Contagion Containment strategy contribute coronavirus COVID-19 COVID-19 patient COVID-19 patients CT scan dataset deep deep learning detection diagnosing Diagnosis driven by effective explain Explainable AI explanation feature global pandemic healthcare high accuracy imbalanced data initial Isolation mixed-data network Neural Novel coronavirus PCR Perspective polymerase chain Radiograph remained researcher Respiratory disease SARS-CoV-2 small data Spread supported the disease Transmission Vaccine widespread X-ray [DOI] 10.3390/healthcare9091099 PMC 바로가기 [Article Type] Article
On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays흉부 X선을 이용한 영상 기반 COVID-19 탐지를 위한 딥 러닝 활용에 대하여Article Published on 2021-08-242022-09-10 Journal: Sensors (Basel, Switzerland) [Category] MERS, SARS, 치료기술, [키워드] Accuracy approach Chest radiography chest X-ray Chest X-ray image Chest X-ray images CNN Convolutional neural network COVID-19 COVID-19 cases COVID-19 pandemic dataset deep deep learning demonstrated detection diagnosis of COVID-19 Diagnostic method evaluated examined hand healthy individuals highest image classification imaging modality imperative individual individuals with COVID-19 infected individual infected individuals learning Medical imaging modify offer Pneumonia Radiography resources solution Viral Viral pneumonia [DOI] 10.3390/s21175702 PMC 바로가기 [Article Type] Article
Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 ScreeningArticle Published on 2021-08-192022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] Accuracy approved automated clinics CNN Community complement Contact Convolution Convolutional neural networks COVID-19 COVID-19 diagnosis COVID-19 pandemic COVID-19 screening death deep learning diagnosed Diagnosis disease feature Features future work laboratory result lightweight model mechanism Metrics module Mutation network parameters Patient performed pneumonia cases pooling processed produced Pyramid quarantine reduced Region risk Screening screening method specificity virus World Health Organization X-ray X-ray imaging [DOI] 10.3390/diagnostics11081497 PMC 바로가기 [Article Type] Article
Optimal Diagnosis of COVID-19 Based on Convolutional Neural Network and Red Fox Optimization AlgorithmResearch Article Published on 2021-08-192022-10-31 Journal: Computational Intelligence and Neuroscience [Category] COVID-19, MERS, SARS, [키워드] Algorithm Chest X-ray image China CNN coronavirus disease COVID-19 dataset death rate Diagnosis diagnosis of COVID-19 diagnostic system Discrete disease disease spread early diagnosis Efficiency examined feature Features Final Fox global pandemic network Neural optimization pandemic physician Prevalence processed Red reduce region of interest reported SARS-CoV-2 specific type suggested Wavelet X-ray [DOI] 10.1155/2021/4454507 PMC 바로가기 [Article Type] Research Article
Incorrect Facemask-Wearing Detection Using Convolutional Neural Networks with Transfer LearningArticle Published on 2021-08-162022-10-31 Journal: International journal for equity in health [Category] COVID-19, [키워드] Accuracy artificial automatically can be used CNN contagiousness contribute Convolutional neural network COVID-19 COVID-19 pandemic deep learning detect detection facemask facemask-wearing condition facemasks facial facial recognition IMPROVE intelligence learning mechanism network Neural reduce transfer transfer learning virus virus transmission [DOI] 10.3390/healthcare9081050 PMC 바로가기 [Article Type] Article
Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video ClassificationArticle Published on 2021-08-142022-10-29 Journal: Sensors (Basel, Switzerland) [Category] COVID-19, SARS, [키워드] Accuracy approaches average CAD classification CNN comparable composed COVID-19 deep deep learning diagnose dropout rate Features Frame hyperparameter optimization learning Long LSTM lung Lung diseases Lung ultrasound network Neural neural networks Neuron performed provided pulmonary sensitivity sequence transfer Ultrasound were used [DOI] 10.3390/s21165486 PMC 바로가기 [Article Type] Article
Scat-NET: COVID-19 diagnosis with a CNN model using scattergram imagesScat-NET: 스캐터그램 이미지를 사용한 CNN 모델로 코로나19 진단Article Published on 2021-08-012022-09-11 Journal: Computers in biology and medicine [Category] 치료기술, [키워드] Accuracy acute respiratory syndrome alternative basophils caused Chain Reaction checked CNN computer computer tomography Convolutional neural network COVID-19 COVID-19 diagnosis COVID-19 disease COVID-19 patient COVID-19 patients CT scan CT scans death disease symptoms eosinophils gold gold standard knowledge lung lymphocyte Lymphocytes Monocytes negative RT-PCR Neutrophils overcome Patient PCR tests polymerase chain polymerase chain reaction positive reverse transcription reverse transcription polymerase chain reaction RT-PCR RT-PCR tests SARS-CoV-2 Scattergram. sensitivity subject tomography Transcription virus [DOI] 10.1016/j.compbiomed.2021.104579 PMC 바로가기 [Article Type] Article
Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19COVID-19에 대한 인공 지능 지원 흉부 X선 평가 체계Article Published on 2021-08-012022-09-11 Journal: European Radiology [Category] SARS, 치료기술, [키워드] Accuracy Algorithm analysed Analysis artificial artificial intelligence assistance Attention calculated Chain Reaction changes chest X-ray classical clinical study CNN complement Consensus contributed Convolutional neural network coronavirus disease COVID COVID-19 CXR disease expert feature Final gold gold standard help Human computer identify IMPROVE network Patient Positive predictive value Precision precision and recall Predictive value provided Radiograph radiologist Radiologists recall Region reported reverse transcriptase reverse transcriptase-polymerase chain reaction RT-PCR sensitivity subgroups subgroups of patient thought Visualisation [DOI] 10.1007/s00330-020-07628-5 PMC 바로가기 [Article Type] Article