| _ | infected | _ |
|---|
| Analysis of | infected | blood cell images using morphological operators |
| automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C- | infected | liver biopsies, An |
| Automatic COVID-19 lung | infected | region segmentation and measurement using CT-scans images |
| Automatic Thresholding of | infected | Blood Images Using Granulometry and Regional Extrema |
| Bifurcated Autoencoder for Segmentation of Covid-19 | infected | Regions in Ct Images |
| Computer discrimination of splenocytes and peripheral blood lymphocytes from mice | infected | with friend murine leukemia virus |
| Detecting Individual Plants | infected | with Pine Wilt Disease Using Drones and Satellite Imagery: A Case Study in Xianning, China |
| Detecting | infected | Cucumber Plants with Close-Range Multispectral Imagery |
| Detection Method of | infected | Wood on Digital Orthophoto Map-Digital Surface Model Fusion Network |
| Extraction of the Individual Tree | infected | By Pine Wilt Disease Using Unmanned Aerial Vehicle Optical Imagery |
| Fire Blight Disease Detection for Apple Trees: Hyperspectral Analysis of Healthy, | infected | and Dry Leaves |
| infected | Cell Identification in Thin Blood Images Based on Color Pixel Classification: Comparison and Analysis |
| Intelligent Identification of Pine Wilt Disease | infected | Individual Trees Using UAV-Based Hyperspectral Imagery |
| Mapping | infected | Area After A Flash-flooding Storm Using Multi Criteria Analysis And Spectral Indices |
| Retrieving the | infected | Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory |
| Texture classification of SARS | infected | region in radiographic image |
| Wireless Capsule Endoscopy | infected | Images Detection and Classification Using MobileNetV2-BiLSTM Model |
| Xf-Rovim. A Field Robot to Detect Olive Trees | infected | by Xylella Fastidiosa Using Proximal Sensing |
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| _ | infection | _ |
|---|
| Automatic Annotation of Leishmania | infection | s in Fluorescence Microscopy Images |
| Automatic Assessment of Leishmania | infection | Indexes on In Vitro Macrophage Cell Cultures |
| Automatic Image Analysis and Classification for Urinary Bacteria | infection | Screening |
| Automatic Spectral Unmixing of Leishmania | infection | Macrophage Cell Cultures Image |
| Boosting Covid-19 Severity Detection with | infection | -aware Contrastive Mixup Classification |
| Classification of | infection | and Fluid Regions in Chest X-Ray Images |
| Classification of risk areas using a bootstrap-aggregated ensemble approach for reducing Zika virus | infection | in pregnant women |
| COLI-Net: Deep learning-assisted fully automated COVID-19 lung and | infection | pneumonia lesion detection and segmentation from chest computed tomography images |
| COVID-19 | infection | and Mortality: Association with PM2.5 Concentration and Population Density: An Exploratory Study |
| COVID-19 | infection | Percentage Prediction via Boosted Hierarchical Vision Transformer |
| COVID-19 lung | infection | segmentation from chest CT images based on CAPA-ResUNet |
| CP-ABM approach for modelling COVID-19 | infection | dynamics and quantifying the effects of non-pharmaceutical interventions, The |
| Deep co-supervision and attention fusion strategy for automatic COVID-19 lung | infection | segmentation on CT images |
| Detection and diagnosis of COVID-19 | infection | in lungs images using deep learning techniques |
| Detection of the | infection | Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep Learning Approach |
| Detection of Xylella fastidiosa | infection | symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis |
| Discriminating Xylella fastidiosa from Verticillium dahliae | infection | s in olive trees using thermal- and hyperspectral-based plant traits |
| Early Detection of Hip Periprosthetic Joint | infection | s Through CNN on Computed Tomography Images |
| Exploring the Spatiotemporal Characteristics of COVID-19 | infection | s among Healthcare Workers: A Multi-Scale Perspective |
| Extraction of Areas of Rice False Smut | infection | Using UAV Hyperspectral Data |
| Geomatics and patient safety: using GIS to control and stop hospital | infection | s |
| GFNet: Automatic segmentation of COVID-19 lung | infection | regions using CT images based on boundary features |
| Helicobacter pylori | infection | detection from multiple x-ray images based on combination use of support vector machine and multiple kernel learning |
| Helicobacter pylori | infection | detection from multiple X-ray images based on decision level fusion |
| Hierarchical Discovery of Patterns of | infection | s in Chest Radiographs Using Non-Negative Matrix Factorization |
| Identification and Severity Monitoring of Maize Dwarf Mosaic Virus | infection | Based on Hyperspectral Measurements |
| ILC-Unet++ for Covid-19 | infection | Segmentation |
| Inf-Net: Automatic COVID-19 Lung | infection | Segmentation From CT Images |
| integrated feature frame work for automated segmentation of COVID-19 | infection | from lung CT images, An |
| joint segmentation and classification framework for COVID-19 | infection | segmentation and detection from chest CT images, A |
| Lisnet: A Covid-19 Lung | infection | Segmentation Network Based on Edge Supervision and Multi-Scale Context Aggregation |
| LW-CovidNet: Automatic covid-19 lung | infection | detection from chest X-ray images |
| Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) | infection | in Small Sub-Watersheds |
| Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral | infection | Using AI Technique |
| Mapping Potential Habitats for Arthropod Vectors of Trypanosomiasis | infection | In Northern Nigeria: An Introductory Synthesis |
| MID-UNet: Multi-input directional UNet for COVID-19 lung | infection | segmentation from CT images |
| Mixup Data Augmentation for COVID-19 | infection | Percentage Estimation |
| Modeling the Effects of Prevention and Early Diagnosis on HIV/AIDS | infection | Diffusion |
| Modelling the Risk of Imported COVID-19 | infection | s at Maritime Ports Based on the Mobility of International-Going Ships |
| modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung | infection | s, A |
| Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) | infection | in Young Tomato Plants Using Vis-NIR Spectroscopy |
| Noncontact Electrical Permittivity Mapping and pH-Sensitive Films for Osseointegrated Prosthesis and | infection | Monitoring |
| novel Virus | infection | Clustering for Flower Images Identification, A |
| precise and timely graph-based approach to identify SARS Covid19 | infection | from medical imaging data using IsoCovNet, A |
| Progressive global perception and local polishing network for lung | infection | segmentation of COVID-19 CT images |
| Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia | infection | Segmentation |
| Recognition of ischaemia and | infection | in diabetic foot ulcer: A deep convolutional neural network based approach |
| Residual Dilated U-net For The Segmentation Of COVID-19 | infection | From CT Images |
| Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 | infection | Percentage Estimation |
| Risk Assessment of the Overseas Imported COVID-19 of Ocean-Going Ships Based on AIS and | infection | Data |
| Robust contour reconstruction of red blood cells and parasites in the automated identification of the stages of malarial | infection | |
| Severity detection and | infection | level identification of tuberculosis using deep learning |
| Swin Transformer for COVID-19 | infection | Percentage Estimation from CT-Scans |
| Traffic-Driven Epidemic Spreading in Networks: Considering the Transition of | infection | From Being Mild to Severe |
| Ultra-High-Resolution UAV-Based Detection of Alternaria solani | infection | s in Potato Fields |
| Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) | infection | with Unmanned Aerial Vehicle Image |
| Weakly Supervised Segmentation of COVID19 | infection | with Scribble Annotation on CT Images |
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| _ | infectious | _ |
|---|
| Data-Driven Models Informed by Spatiotemporal Mobility Patterns for Understanding | infectious | Disease Dynamics |
| Diagnosing Emerging | infectious | Diseases of Trees Using Ground Penetrating Radar |
| Disentangled Sequential Autoencoder with Local Consistency for | infectious | Keratitis Diagnosis |
| Geomatics and EO Data to Support Wildlife Diseases Assessment at Landscape Level: A Pilot Experience to Map | infectious | Keratoconjunctivitis in Chamois and Phenological Trends in Aosta Valley (NW Italy) |
| GIS-based | infectious | Disease Data Management on A City Scale, Case Study of St. Petersburg, Russia |
| How Urban Factors Affect the Spatiotemporal Distribution of | infectious | Diseases in Addition to Intercity Population Movement in China |
| Remote Sensing Data Based Artificial Neural Network Approach for Predicting Climate-Sensitive | infectious | Disease Outbreaks: A Case Study of Human Brucellosis, A |
| Social Network Analysis of Spatial Human Mobility Behaviour In | infectious | Disease Interaction: An Exploratory Evidence of Tuberculosis In Malaysia |
| Spatially-Explicit Simulation Modeling of Ecological Response to Climate Change: Methodological Considerations in Predicting Shifting Population Dynamics of | infectious | Disease Vectors |
| Traffic Data-Empowered XGBoost-LSTM Framework for | infectious | Disease Prediction |
| Use of Social Media for the Detection and Analysis of | infectious | Diseases in China |
| Web-based Representation and Management of | infectious | Disease Data on A City Scale, Case Study of St. Petersburg, Russia |
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