Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest RadiographyDigital Health Published on 2022-01-172022-10-31 Journal: Frontiers in Digital Health [Category] COVID-19, [키워드] Accuracy Additive applied approach Chest chest X-ray Chest X-ray image classification coronavirus COVID-19 defined Diagnosis explainable models explanation extraction feature Features forest lung machine learning Non-COVID-19 Pneumonia Radiographic Radiography radiological radiological findings Radiomics random recursive feature elimination reverse transcription-PCR RT-PCR sensitivity SHAP x-rays zone [DOI] 10.3389/fdgth.2021.662343 PMC 바로가기 [Article Type] Digital Health
Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-rayArticle Published on 2022-01-162022-10-29 Journal: Sensors (Basel, Switzerland) [Category] COVID-19, SARS, [키워드] Accuracy Affect alleviate automated can be used carried Chest X-ray (CXR) Chest X-ray image clinical Clinical data clinical feature collected coronavirus COVID-19 COVID-19 diagnosis CXR Dammam deep deep learning Deep learning (DL) Diagnosis diagnosis of COVID-19 diagnostic Disease diagnosis disrupting Effect experiment f-score feature help Impact IMPROVE King learning Model pandemic Patient patient data Pneumonia Precision recall risk shown Spread the patient university used data was performed was used X-ray [DOI] 10.3390/s22020669 PMC 바로가기 [Article Type] Article
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray imagesResearch article Published on 2022-01-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy acute respiratory syndrome Algorithm Analysis approach automated automatic detection carried Chest X-ray image Chest X-ray images classification Conditional generative adversarial network (C-GAN) coronavirus coronavirus disease COVID-19 COVID-19 case COVID-19 infected patients COVID-19 virus deep learning Deep neural networks (DNN) described Diagnosis diagnostic faster Features Final global pandemic highest Image segmentation include indicated information Key point extraction lung Lung infection ML models Pneumonia recent reducing Research robust SARS-CoV-2 transmission rate virus X-ray [DOI] 10.1016/j.bspc.2021.103182 [Article Type] Research article
Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray imagesResearch article Published on 2022-01-012022-10-05 Journal: Applied Soft Computing [Category] 바이오마커, 치료기술, [키워드] Accuracy acute respiratory syndrome Analysis approach approaches caused chest X-ray Chest X-ray image clinician Complication computer-aided diagnosis coronavirus COVID-19 Critical dataset deep learning Diagnosis disease early treatment evaluated experiment global pandemic healthy helping Image Infectious disease initial Italian lung Lung diseases North America pandemic pathology patients performed Pneumonia Prevent Pulmonary disease detection radiology SARS-CoV-2 similarity Society Stage World Health Organization X-ray X-ray imaging [DOI] 10.1016/j.asoc.2021.108190 [Article Type] Research article
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray imagesResearch article Published on 2022-01-012022-10-05 Journal: Applied Soft Computing [Category] 변종, [키워드] automated automatically Care Chest radiography chest X-ray Chest X-ray image Chest X-ray images CNN COVID-19 COVID-19 diagnosis COVID-19 testing CXR datasets deep deep learning efficient evaluate Grasshopper growth Health healthcare service Hospitalized imperative individual individuals information limit MOGOA Multi-objective optimization occurrence of COVID-19 optimization Patient Pneumonia provide researcher Spread stages tested the disease to define Treatment [DOI] 10.1016/j.asoc.2021.108250 [Article Type] Research article
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infectionCovid-19 감염을 감지하기위한 흉부 X- 레이 이미지의 깊은 시각 단어 특징의 다중 규모 백 융합Article Published on 2021-12-132022-09-01 Journal: Scientific Reports [Category] 진단, 치료기술, [키워드] Accuracy Algorithm capture CD1 CD2 CD3 CD4 chest X-ray Chest X-ray image Computational biology and bioinformatics Convolution COVID-19 disease COVID-19 infection CXR dataset deep deep learning detect Diagnosis evaluate Experimental result experimental results feature Features fusion information Lungs Medical research Region shown support vector machine SVM the lungs a X-ray [DOI] 10.1038/s41598-021-03287-8 PMC 바로가기 [Article Type] Article
Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-HealthcareE-Healthcare에서 흉부 X선 영상을 통한 딥 러닝 및 전이 학습 기법을 적용한 COVID-19의 정확한 진단을 위한 진단 접근법 임상 데이터Article Published on 2021-12-092022-09-10 Journal: Sensors (Basel, Switzerland) [Category] SARS, 치료기술, [키워드] Accuracy addition Affect approach artificial intelligence baseline cause of death caused chest X-ray Chest X-ray image Chest X-ray images classification clinical clinical images data convolution neural network Convolutional neural network COVID-19 COVID-19 diagnosis CRD data set death deep demonstrated diagnose Diagnosis disease early stage effective experimental results Final high accuracy Image lack learning multi classification multi-classification network Neural problem respiratory Respiratory system Rotation SARS-CoV-2 significantly Spread technique transfer learning transferred Treatment two-dimensional X-ray [DOI] 10.3390/s21248219 PMC 바로가기 [Article Type] Article
COVID-19 infection localization and severity grading from chest X-ray images흉부 엑스레이 이미지에서 등급을 매기는 COVID-19 감염 위치 및 심각도Article Published on 2021-12-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 변종, 치료기술, [키워드] addition annotation approach chest radiographic chest X-ray Chest X-ray image coefficient Convolutional neural networks coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 infection COVID-19 infections COVID-19 pneumonia COVID-19 samples CXR dataset deep deep learning diagnose diagnosis of COVID-19 Dice Effect experiment Healthcare system Healthcare systems Infection Infection Segmentation Intersection iterative learning lung Lung segmentation Mask network Neural Numerous overfitting Patient performed Pneumonia Prevent Pyramid quantification reached Repository required Segmentation Sensitivity and specificity severity Spread the disease tissues union was performed with infection [DOI] 10.1016/j.compbiomed.2021.105002 PMC 바로가기 [Article Type] Article
COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray imagesCorrespondence Published on 2021-12-012022-10-05 Journal: Results in Physics [Category] Coronavirus, 치료기술, [키워드] Accuracy applied average Chest X-ray image Classifier Combination COVID-19 COVID-19 diagnosis Diagnosis Early detection Features global pandemic Gradient Haralick histogram interest K-nearest neighbor LBP Local binary pattern machine learning Morphological offer operator outperform Precision provide Region ROI sensitivity specificity support vector machine tested the disease X-ray X-ray image [DOI] 10.1016/j.rinp.2021.105045 [Article Type] Correspondence
COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of DiagnosisArticle Published on 2021-11-222022-10-29 Journal: International Review of Cell and Molecular Biology [Category] COVID-19, [키워드] Accuracy approach artificial artificial intelligence automatically average chest X-ray Chest X-ray image Chest X-ray images Clinicians collected COVID-19 COVID-19 severity dataset deep learning Deep Learning Method demonstrated Hospital admission intensive care units laboratory-confirmed machine learning algorithm Mild moderate pandemic Patient patients predict predicted Radiologists SARS-COV-2 infection sensitivity severity specificity tested variable [DOI] 10.3390/life11111281 PMC 바로가기 [Article Type] Article