| _ | bacteria | _ |
| Analysis of Volumetric Images of Filamentous | bacteria | in Industrial Sludge |
| Automated characterization of | bacteria | in confocal microscope images |
| Automatic Image Analysis and Classification for Urinary | bacteria | Infection Screening |
| bacteria | Foraging Fusion for Face Recognition across Age Progression |
| bacteria | -Filters: Persistent particle filters for background subtraction |
| Computer Identification of | bacteria | by Colony Morphology |
| Direct enumeration and size classification of soil | bacteria | using confocal laser scanning microscopy and image analysis |
| Extraction and Analysis | bacteria | |
| Identification of tuberculosis | bacteria | based on shape and color |
| Lcuts: Linear Clustering of | bacteria | Using Recursive Graph Cuts |
| Random forest-based tuberculosis | bacteria | classification in images of ZN-stained sputum smear samples |
| Segmentation and tracking individual Pseudomonas aeruginosa | bacteria | in dense populations of motile cells |
| Shape Extraction of Volumetric Images of Filamentous | bacteria | Using Topology Adaptive Self Organization |
| Using the Gouy phase anomaly to localize and track | bacteria | in digital holographic microscopy 4D images |
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| _ | bacterial | _ |
| Active noise control using an adaptive | bacterial | foraging optimization algorithm |
| Automatic Identification of | bacterial | Types Using Statistical Imaging Methods |
| Bact-3D: A level set segmentation approach for dense multi-layered 3D | bacterial | biofilms |
| bacterial | colony counting with Convolutional Neural Networks in Digital Microbiology Imaging |
| bacterial | Image Analysis and Single-Cell Analytics to Decipher the Behavior of Large Microbial Communities |
| Bayesian Statistical Analysis for | bacterial | Detection in Pulmonary Endomicroscopic Fluorescence Lifetime Imaging |
| CNN-Based Identification of Hyperspectral | bacterial | Signatures for Digital Microbiology |
| Combining the use of CNN classification and strength-driven compression for the robust identification of | bacterial | species on hyperspectral culture plate images |
| Detection of | bacterial | Leaf Spot Disease in Sesame (Sesamum indicum L.) Using a U-Net Autoencoder |
| Differentiation between COVID-19 and | bacterial | pneumonia using radiomics of chest computed tomography and clinical features |
| Early Detection of | bacterial | Wilt in Tomato with Portable Hyperspectral Spectrometer |
| Evaluating the Spatial Risk of | bacterial | Foodborne Diseases Using Vulnerability Assessment and Geographically Weighted Logistic Regression |
| Field-Scale Detection of Rice | bacterial | Leaf Blight Using UAV-Based Multispectral Imagery: Via Cross-Scale Sample-Label Transfer and Spatial-Spectral Feature Fusion |
| Fuzzy Co-Clustering of medical images using | bacterial | foraging |
| High-Throughput UAV Hyperspectral Remote Sensing Pinpoints | bacterial | Leaf Streak Resistance in Wheat |
| Hybrid Improved | bacterial | Swarm (HIBS) Optimization Algorithm |
| Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, | bacterial | Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning |
| linguistic approach to classification of | bacterial | genomes, A |
| Multi-object tracking in non-stationary video using | bacterial | foraging swarms |
| novel | bacterial | foraging technique for edge detection, A |
| Pattern Recognition Method to Detect Vulnerable Spots in an RNA Sequence for | bacterial | Resistance to the Antibiotic Spectinomycin |
| Pulsed-Field Gel Electrophoresis Pattern Recognition of | bacterial | DNA: A Systemic Approach |
| Real-Time Pedestrian Tracking with | bacterial | Foraging Optimization |
| Unsupervised Feature Selection Methodology for Analysis of | bacterial | Taxonomy Profiles |
| Visual Imaging of Invisible Hazardous Substances Using | bacterial | Inspiration |
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