Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model다중 작업 딥 러닝 모델을 통한 SARS-CoV-2에 대한 잠재적으로 상업적으로 이용 가능한 억제제 예측Article Published on 2022-08-212022-09-11 Journal: Biomolecules [Category] SARS, 치료제, [키워드] binding binding mode binding modes can be used caused Compound COVID-19 dataset datasets death deep deep learning drug Drug discovery effective effective drug effective drugs effective inhibitor effort exhibited fine-tune help heterogenous identify Infection inhibitors Interaction learning Model molecular docking multi-task learning outbreak performed Potential predicted prediction Prevent protein-ligand interaction protein–ligand interaction. rising SARS-CoV-2 SARS-CoV-2 protein selected severe symptoms targets was collected was used [DOI] 10.3390/biom12081156 PMC 바로가기 [Article Type] Article
Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images흉부 X선 영상에서 폐렴 진단을 위한 다분기 융합 보조 학습Article Published on 2022-08-012022-09-11 Journal: Computers in biology and medicine [Category] COVID19(2023년), SARS, 치료기술, [키워드] absence Accuracy assist auxiliary Auxiliary learning average Bacteria Bacterial bacterial pneumonia baseline caused chest X-ray Chest X-ray image COVID-19 Critical CXR deep deep learning ENhance feature fusion fused Infection infectious information Isolation learning Lung infection multi-task learning other viral pneumonia parameter Pneumonia recall recognize screening method Treatment Viral pneumonia virus was used [DOI] 10.1016/j.compbiomed.2022.105732 PMC 바로가기 [Article Type] Article
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantificationCOVID-19 진단 및 중증도 정량화를 위한 저수준 흉부 X선 특징 코퍼스를 사용하는 다중 작업 비전 변환기Article Published on 2022-01-012022-09-11 Journal: Medical image analysis [Category] SARS, 치료기술, [키워드] Algorithm backbone can be used chest X-ray consolidation coronavirus disease Coronavirus disease 2019 Coronavirus disease-19 corpus COVID-19 COVID-19 diagnosis COVID-19 pandemic CXR dataset datasets detect Developing diagnose Diagnosis edema evaluate experimental results feature mechanism multi-task learning Novel coronavirus novel coronavirus disease opacity quantification robust severity test dataset transformer vision Vision transformer. widespread X-ray [DOI] 10.1016/j.media.2021.102299 PMC 바로가기 [Article Type] Article
A comparative study of multiple neural network for detection of COVID-19 on chest X-rayResearch Published on 2021-07-272022-10-31 Journal: Eurasip Journal on Advances in Signal Processing [Category] COVID-19, [키워드] Accuracy affected Analysis artificial neural networks chest X-ray Chest X-ray image classification Coronavirus pneumonia COVID-19 deep learning DenseNet121 diagnose diagnostic disease Efficiency healthcare worker IMPROVE Metrics multi-task learning patients Performance metrics Pneumonia pneumonia cases Research Result rising Safe Spread transfer learning viral infection virus were used [DOI] 10.1186/s13634-021-00755-1 PMC 바로가기 [Article Type] Research
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application흉부 방사선 촬영 이미지와 Raspberry Pi 장치를 사용하여 COVID-19 및 폐 분할 표시를 감지하기 위한 연합 준지도 다중 작업 학습: 의료 사물 인터넷 응용 프로그램Article Published on 2021-07-242022-09-10 Journal: Sensors (Basel, Switzerland) [Category] SARS, 치료기술, [키워드] Accuracy applicability application average benefit Chest radiography COVID-19 decision support systems domain effective equipment experiment federated learning Image Internet internet of medical things issue learning less lung marking multi-task learning Precision provide Radiography Raspberry Raspberry Pi recall Segmentation semi-supervised learning semi-supervised machine learning Support transfer transfer learning [DOI] 10.3390/s21155025 PMC 바로가기 [Article Type] Article
Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of HemagglutininMethodology Article Published on 2020-05-112023-05-22 Journal: BMC Bioinformatics [Category] Fulltext, 신종인플루엔자, [키워드] antigenic drift Group lasso H1N1 Influenza virus LASSO MTL-SGL multi-task learning N-linked glycosylation Sparse learning Vaccine strain selection [DOI] 10.1186/s12859-020-3527-5 PMC 바로가기 [Article Type] Methodology Article